– The student will understand the usefulness of the mathematics taught in the engineering profession (practical and immediate applications to problems varied by their nature and their fields of application: break with the academicism of CPGEs)

– The student will be able to model and solve problems posed in non-mathematical terms. The student must ultimately know how to transform a given problem into a mathematical problem, identify the resolution techniques, implement them theoretically and computationally, criticize and present his results.

Numerical methods FUN3100

Summary:

Mathematical modeling of simple engineering problems, here numerical calculation for continuous deterministic problems. In the other courses are approached the discrete problems and the stochastic approach.


Coded	FUN3100	Numerical methods

Volume Time : 1h:30 Integrated lessons + 00h:00 Practical work (by week)

Program and contents

Type of educational activity	Content, sequencing and organization
Course	Upgrade on basic tools: differential calculus and matrix algebra. Matlab learning Lectures + Tutorials + Practical work
Course	Dynamical systems: explicit and implicit Euler methods. Writing an epidemic propagation simulator (spatio-temporal) Lectures + Tutorials + Practical work
Course	Schemes for solving a parabolic equation (heat equation) in one space dimension, and an elliptical equation (conservation equation of a flux deriving from a potential) by the finite difference method. Realization of a flow and water production simulator from a groundwater table. Optimization of the position of a well. Lectures + Tutorials + Practical work
Course	Introduction to the finite element method: variational formulation of a 2D Laplace equation, discretization on a basis of piecewise affine functions. Solving small problems « by hand ». Using the finite element toolbox
Course	Numerical methods of gradient descent and Newton’s method for continuous optimization. Method of Lagrange multipliers. Writing an optimizer in Matlab to solve a geometric optimization problem in higher dimension.

Assessment methods

Share of individual assessment			Part of the collective assessment
On-table examination:	50	%	Project deliverable(s):		%
Individual oral exam:	0	%	Group presentation:		%
Individual presentation:	0	%	Collective practical exercise:	25	%
Individual practical exercise:		%	Collective report:	25	%
Individual report:		%
Others) : %

Learning outcomes:

At the end of the teaching unit, the student will be able to:	Taxonomy level	Priority
use the basic tools, in particular differential calculus in higher dimension, and matrix algebra, used for numerical methods	2. Understand	Essential
model problems resulting in mathematical formulations of the type: nonlinear systems, dynamical systems, elliptical or parabolic partial differential equations, nonlinear continuous optimization	3. Apply	Essential
write numerical schemes in finite differences or simple finite elements (P1) or optimization algorithms based on gradient or Newton methods	3. Apply	Essential
solve simple optimization problems under equality constraints using the method of Lagrange multipliers		Essential
design structured computation algorithms, program them with Matlab, build digital simulators	3. Apply	Important
analyze, test, criticize the results of a numerical calculation	4. Analyze	Important
write a clear and concise practical work report	5. Synthesize	Useful
use Matlab software to create scientific computing programs	3. Apply

Engineering Mathematics 1 FUND3101

Summary:

This unit introduces students to the mathematics of differential calculus and its applications in engineering. Sample lessons are provided to support student learning.

Coded

FUND3101

Engineering Mathematics 1

Volume Time : 1h:30 Integrated lessons + 00h:00 Practical work (by week)

Learning objectives and skills aimed

Acquire THE knowledge of basics there resolution of issue of the equations devolution And

questions dynamic

Modelization
Techniques of calculation

Course content

Reduction of endomorphisms and matrices square
- Diagonalization
- Trigonalization
- Systems recurring
Generalized integrals: Existence and techniques of calculations
Transform of Fourier
Laplace transform; application to the resolution of some equations differential

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

Knowledge and skills prerequisites

Mathematics level preparation
License with a certain intellectual courage !

References bibliographic

INSA “Mathematics” undergraduate program,
Thomas Cluzeau « Mathematics for engineers », National School of Engineers from Limoges.
Fahd Kaghat « Mathematics course for engineers », Faculty of Sciences and Techniques of Fes (Morocco).

Indicative reading

Core Mathematics for Advanced Level, L. Bostock and S. Chandler, Nelson Thornes (Publishers) Ltd., 2000, ISBN 0 7487 55098.

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcomes:

1 – Demonstrate knowledge of calculus at a level appropriate for level 4 courses;
2 – Apply this knowledge to the resolution of elementary problems;
3 – Undertake further study of these topics.
4- Demonstrate your ability to manage your time

Engineering Mathematics 2 FUND3201

Summary:

Mathematics is the fundamental language of engineering, allowing to formulate and develop complex ideas. This course provides the solid foundation of mathematical techniques and methods required by almost all other engineering course modules in the department. Topics include functions, set theory, complex numbers, calculus, linear algebra, statistics, and probability .

Coded

FUND3201

Engineering Mathematics 2

Hours : 1h:30 Integrated lessons + 3h:00 Practical work (per week)

Learning objectives and skills aimed

Acquire basic knowledge of problem solving evolution equations and questions dynamic
Modelization
Techniques of calculation
Learning the transition from a real problem to its model and then the resolution

Course content

Solving equations linear
- Gauss
- READ
- Cholesky
- Errors and Pivoting partiel
Polynomial interpolation: Lagrange interpolation-Divided differences-Newton interpolation-Errors of interpolations
Integration digital
Solving equations no linear
Numerical resolution of equations differential

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

¨ Practical work (laboratory)

Knowledge and skills prerequisites

Basic knowledge in analysis and algebra of an undergraduate university

References bibliographic

A handout (Course Notes) from the teacher will be available after each
Alfio Quarteroni Fausto Saleri Paoula Gervasi, Scientific calculation Course and corrected exercises Illustrations in Matlab and Octave 2nd edition
Jean Louis Merrien Numerical analysis with matlab course and corrected exercises Dunod
André Fortin: Numerical analysis for engineers (4th edition ) Presses internationales Polytechnique
Evans (1993): Practical Numerical Integration. John Wiley & Sons. [MY 65/336]

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work (mini-project with oral presentation, report, …)

Learning outcomes:

The subject-specific learning outcomes targeted. Upon successful completion of the module, students will be able to:
1- Demonstrate familiarity with aspects of functions, set theory, differential calculus, linear algebra, statistics and probability.
2.- Demonstrate an ease in the use of these mathematical tools in problem solving.
The intended generic learning outcomes . Upon successful completion of the unit, students will be able to:
1- Demonstrate problem-solving skills using mathematics
2- Demonstrate the ability to interpret data

Operational Research and Optimization FUN4103

Coded

: FUN4103

Operational Research and Optimization

Volume Schedule : 1.5h Integrated courses (by week)

Learning objectives and skills aimed

Objective 1: Apply optimization methods to problems real
Objective 2: Understand and apply algorithms on cases real

Course content

Chapter 0: Introduction to OR
Types of problems treaties
Application situations practice
Methods of OR
Theory of graphs
Chapter 1: General information on graphs
Graphs oriented
Graphs no oriented
Adjacency matrices / Matrices incidences
Path, Type of paths (Eulerian and Hamiltonian), circuit, chain, cycle
Special graphs: P-graph, subgraph, partial, symmetric, transitive, reflexive…
Chapter 2 : Coloring the vertices of a graph
Coloring own
Number chromatic
Welsh’s algorithm and Powell
Apps
Chapter 3: Search for shortest path
Principle of relaxation
Circuit absorbent
Dijkstra’s Algorithm & Algorithm of Bellman Ford
Case practice
Chapter 4 : Minimum Cost Spanning Tree Search (ACCM)
Characteristics of a TREE
Research principle from ACCM
Prim’s Algorithm & Algorithm of Kruskal
Case practice

Chapter 5: Scheduling
Project management, optimum date of a project
Earliest date, latest date and path critical
Duration of works and margins
BPM Method & Method PERTS

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Work to be done at home (mini-project, presentation, report, …)

References bibliographic

A handout (Course Notes) from the teacher will be
http://transp-or.epfl.ch/courses/RechOp/09-10/exercises.php
The following bibliographic recommendations should be considered :
- ROSEAU(s), “Operational research exercises volume 1 and 2”, Dunod, 2005, (328 p),

9782100493371.

Summary of operational research – 7th edition, Methods and exercises d’application, Robert Faure , Bernard Lemaire , Christophe Picouleau , Collection: Sciences Sup, Dunod , April 2014, (592p),

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcomes:

The subject-specific learning outcomes targeted. After successfully completing the module, students will be able to:

Identify and develop operational research models from the verbal description of the real system.
Understand the mathematical tools needed to solve optimization problems.
Use mathematical software to solve the proposed models.
Develop a report describing the model and the resolution technique, analyze the results and propose recommendations in an understandable language to the decision-making processes in Management Engineering.

Inferential Statistics FUN3102

Summary:

The term inferential statistics was first designated as « mathematical statistics » (because probability theory has a large place in it) or « inductive statistics » (because the approach is often inductive, rather than deductive, with all the uncertainty that this underlies), took off in England at the beginning of the 20th century, with Ronald A. Fisher and Karl Pearson, to answer practical problems, in agronomy and biology. Its aim is to extend (infer = draw conclusions), to the whole population, the properties observed on a restricted part of this population (a sample). It is a question, being aware of sampling fluctuations, of estimating a parameter, or of testing a statistical hypothesis, concerning the population studied. Inferential statistics has a decisional aspect and the calculation of probabilities plays a fundamental role, in particular to calculate the risks of error.

Code : FUN3102 Inferential Statistics

Volume Schedule : 1.5 lessons integrated

Learning objectives and skills aimed

Purpose of the teaching unit: Understand the fundamental principles of inferential statistics and be able to analyze the characteristics of estimated parameters in order to draw conclusions about the true values of the parameters. Choose the methods adapted to the different problems or to the different types of samples.

At the end of this unit the student should be able to :

Do of inference statistical (To estimate A setting unknown of one population, test a

proportion…).

Do all the math from programming software (R).

Course content

Introduction to sampling
- Sampling of a mean
- Sampling of a proportion
Estimation of parameters (mean and proportion)
- Estimate punctual
- Estimate by confidence interval of a mean
- Estimate by confidence interval of a proportion
Testing parametric
- Test on a mean
- Test on a proportion
- One-way ANOVA factor

Tests no parametric
- Test of chi-square
- Testing of ranks

Teaching methods and learning

ý Frontal teaching (masterful) with examples to be solved in commmon.

ý Exercises theoretical And studies of case (presentation And discussion).

ý Practical work (laboratory)

ý Work to do at home (mini-project)

Knowledge and skills prerequisites

Prerequisite 1: Probability
Prerequisite 2: Statistics Description

References bibliographic

A handout (Course Notes) and the teacher’s practical work booklet will be
Other references in the form of tutorials, manuals or documents to download http://www.pallier.org/ressources/tpr/tpR.html

https://samm.univ-paris1.fr/IMG/pdf/notes-4.pdf

Introduction to statistics with R: Courses, examples, exercises and corrected problems, Frédéric Bertrand 1 Myriam Maumy-Bertrand, Dunod, 396 p., 2010, Sciences

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

Skills or learning outcomes at the end of the EU:

-Know how to define the statistical modeling governing an observed phenomenon

– Mastery of the notions of parametric estimation, confidence interval, hypothesis testing

-Critically evaluate the results of a statistical analysis (analyze the theoretical background, objectives and methodology to identify the limitations of the results)

Stochastic processes FUN3105

Summary :

Provide a good understanding of the key concepts of stochastic processes in various contexts: discrete time and finite state space; discrete time and countable state space; continuous time and countable state space.

Coded

FUN3105

Stochastic processes

educational goals

The course will consider Markov processes in discrete and continuous time. The theory is illustrated with examples from operational research, biology and economics.

Content

Definition of the stochastic process
Definition of Markov processes
Transition probabilities
Probability vector and probability matrix
The relationship between the prime and the n-step probability vector
Two-state Markov chain
State classifications
Limit theorems
Generation functions
Irreducible Markov chain
Reducible Markov chain – I
Reducible Markov chain – II
Nesting Time and Probability in Finite Markov Chains – I
Integration time and probabilities in finite Markov chains – II

Learning methods and activities

Lectures, exercises and work (projects). The portfolio assessment is the basis for the course grade. This portfolio consists of a final written exam (80%) and assignments (projects) (20%). The results for the building blocks should be given in percentage points, while the grade for the entire portfolio (course grade) is given by the letter grading system. The retake of the exam can be given in the form of an oral exam.
Lectures can be given in English.

Bibliography

S. BARTLETT, An introduction to stochastic processes, Cambridge Univ. Press, (UK), 3rd ed. nineteen eighty one
BLANC-LAPIERRE & B. PICINBONO, Random functions, Masson, Paris, 1981
BRÉMAUD, Stochastic processes: Markovian models, National School of Advanced Techniques, Paris, 1991
BRZEZNIAK & T. ZASTAWNIAK, Basic stochastic processes, A course through exercises, Springer, 3

Assessment modality

Partial Exam + Final Exam

Learning outcomes

After completing the course, students should be able to:

Perform derivations involving conditional probability distributions and conditional expectations.
Define the basic concepts of Markov chain theory and present proofs of the most important theorems.
Calculate transition probabilities between states and return to initial state after long time intervals in Markov chains.
Identify classes of states in Markov chains and characterize the classes.
Determine the limiting probabilities in Markov chains after an infinitely long period.
Derive differential equations for time-continuous Markov processes with discrete state space.
Solve differential equations for distributions and expectations in time-continuous processes and determine the corresponding limit distributions.

Nonlinear optimization FUN3105

Summary :

Nonlinear optimization (in English: nonlinear programming – NLP) mainly deals with optimization problems including data.

Coded

FUN3105

Nonlinear optimization

educational goals

Give the standard tools for modeling and algorithmic resolution of continuous optimization.

The course contains the basic framework for building efficient methods for solving unconstrained optimization problems. Topics include line finding, trust regions, and derivative-free methods for unconstrained optimization. For constrained optimization, Karush-Kuhn-Tucker theory and basic solution techniques are presented. The close connection with machine learning and stochastic gradient descent is discussed.

Content

Non-linear optimization without constraints: Existence and uniqueness of an extremum, Optimality conditions (including in the convex case).
Descent algorithms: gradient method, Newton’s method and its variations, Conjugate gradient.
Optimization under constraints: optimality conditions, Lagrange’s theorem (equality constraints), Kuhn and Tucker conditions (inequality constraints), duality relations and sensitivity analysis.

Key words

nonlinear programming – quadratic programming – convexity.

Bibliographic references

Linear programming: foundations and extension. RJ Vanderbei, Kluwer Academic Publishers, 1997.

Introduction to linear and nonlinear programming. Luenberger, David G.-Addison Wesley, 1973.

Linear and integer programming theory. Schrijver, Alexander – Wiley-Interscience editions, 1986. – (Wiley Intersci. Series in Discrete Mathematics. Optimization).

Mathematical programming: theory and algorithms, volumes 1 and 2. Michel Minoux, New edition. -Bordas.

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes

At the end of the course , the candidate will have the following learning outcomes.

The candidate can explain what a continuous optimization problem is and how it can be solved.

can explain the mathematical theory behind algorithms for solving continuous optimization problems.

can analyze the effectiveness of continuous optimization problem solving methods.

can discuss connecting to machine learning.

Introduction to formal logic FUN3106

Summary :

Mathematical logic, or formal logic, is a discipline of mathematics that defines and studies the formal representations of mathematical language

Coded

FUN3106

Introduction to formal logic

educational goals

This course is an introduction to formal logic. The main objective is to allow the student to acquire the mastery of two logical calculation tools, namely the calculation of propositions and the calculation of first-order predicates. We will approach these calculations through semantic and syntactic methods (truth tables, consistency trees and natural deduction).

Content

Calculation of proposals

1.1 Logical connectors

1.2 Truth tables

1.3 Calculation by reduction

1.4 Tautology

1.5 Disjunctive normal form

1.6 Trees of consistency I

1.7 Natural deduction I

Calculation of first-order predicates

2.1 Quantization and first-order language

2.2 Trees of consistency II

2.3 Natural deduction II

BIBLIOGRAPHY

Bouchard, Yves. 2015. Computation in first-order logic. Quebec: Presses de l’Universite du Quebec. The book is available at the COOP bookstore (Pavilion B5) and in PDF format at the PUQ ( http://www.puq.ca/ ).

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes

At the end of this course, students will be able to:

Represent the structure of declarations and arguments in symbols.

Evaluate the validity of arguments using truth tables and natural deduction.

Apply formal methods to help clarify and evaluate real-world arguments.

Facilitate display with symbolic logic methods under test conditions.

Defend their views on the logical structure of real-world arguments.

Signal processing in telecommunications Tel31002

Summary :

The objective of this unit is to provide an in-depth understanding of signal processing techniques used in communication systems.

Coded

Tel31002

Signal processing in telecommunications

educational goals

– Consolidation of fundamentals on digital transmission systems.
– Discovery of the main standard processing used in transmission and reception for wireless transmissions. – Awareness of more advanced signal processing techniques for wireless communications.

Targeted skills

Mastery of processing techniques used in communications systems. Design, simulation and production capability.

Key words

digital transmission
Receiver
Mobile telephony
Radiocommunication
Signal processing
Telecommunications

Program:

Content

Ideal SISO systems: Real and complex signals, Linear and nonlinear modulations, Waves, Antennas, Polarization, Observation models, Statistics, Circularity, Stationarity, Cyclostationarity, Optimal receiver, Adapted filtering, Nyquist filtering, Bit error rate, Channel capacity
Non-ideal SISO channels: Wired and non-wired channels, Multipath, Noise, Interference, Real and equivalent baseband channels, Deterministic and random channels, Invariant or variant, Selective or not, Specular or not, Flat fading, selective, slow, fast, Rice Fading, Rayleigh Fading, Late Spreads, Doppler, Angular, Coherence band, Coherence time, Coherence distance, Examples with 2 and M paths, Statistical model, Example of HF channels, GSM diversity for flat fading channels: Optimal receiver performance in Rayleigh fading, Diversity concept, Temporal, frequency, spatial diversities in reception (SIMO), spatial in transmission (MISO), MIMO systems, Space-time coding, Spatial multiplexing, Waterfilling, SVD architecture, V-BLAST, Joint demodulation, Outage capabilities, ergodic.
Selective Fading Processing: MLSE Receivers, RAKE, Viterbi Algorithm, Linear and DFE Equalizers, Zero Forcing, MMSE, Adaptive Equalization, Capacities, Gradient Algorithms, Least Squares

Assessment modality

Partial Exam + Final Exam

Bibliography

M.Bellanger: Digital signal processing, Dunod-Masson Ed., 8th ed., 2006.

JG Proakis: Digital Communications, McGraw-Hill, 5th ed., 2010

Wautier: Equalization, Supélec, Poly 06653, 1996
Picinbono: Signal Theory, Dunod,
Tse, P. Viswanath: Fundamentals of Wireless Communication, 2005

Learning outcomes:

Upon successful completion of this module, students will be able to:

Understand the place of digital signal processing in communication systems.
Understand the channel models used in the design and testing of communication systems.
Understand the elements of estimation and detection theory relevant to channel estimation, synchronization and data detection.
Understand optimal signal processing, including optimal detection, matching filtering, adaptive filtering, LMS, and applications.
Understand the signal processing techniques used for phase and time synchronization.
Understand channel estimation and equalization techniques.
Understand diversity systems, including maximum ratio combination.
Understand multi-user detection.
Understand how signal processing techniques are used in practical communication systems.
Upon successful completion of this module, students will be able to:
Be able to apply theoretical knowledge to the development of communication systems at the physical layer level.

Electronic Material Sheets

Ele3100 signal processing

Summary :

Introduction to signal processing for advanced undergraduate or graduate students in the biological, physical, social, engineering, and computer sciences. Representation and processing of continuous-time and discrete-time signals and images using phasors, Fourier series, sampling, FIR filters, discrete-time Fourier transform, Z-transform and IIR filters. Machine issues include processing music, speech, photographic images, bioelectrical and biomedical image data. ..

Coded

Ele3100

Signal processing

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Prerequisites

Mathematics for the engineer

Course objectives

The objective of the course is to prepare students for a research career that involves the analysis of signals and images correlated with behavioral, linguistic, neuroscientific and physical scientific phenomena. Students learn what kinds of information can be extracted from signals and images, why the algorithms work, and how to apply the algorithms in practice through a sequence of related theoretical and machine problems. Problems focus on artificial signals, then progress to the analysis of acoustic, bioelectrical, and neuroimaging signals acquired through published research programs. The semester ends with a final project in which each student presents an original creative, documentary or experimental work.

Course content

Theoretical content

Continuous and discrete-time signals; period and frequency; Nyquist rate for sinusoids

Reverberation and convolution; impulsive response; linear and shift-invariant systems

Images as 2D signals; 2D convolution; point spread function

Review of complex numbers; discrete Fourier series and discrete Fourier transform

Frequency-sampled filter design; circular convolution; overlap-add

Fourier transforms in discrete time and in continuous time; FIR filter design; sampling

2D Fourier Transform and Frequency Response

Z-transformed; notch filtering

Linear predictive filtering and LPC-10 speech coding

Human visual system; color representation; Histogram equalization

Overview of image formation: projection cut theorem, tomography, CT scan, MRI

Cinema audio and video signals

Quiz in class

Practical work

Introducing Matlab

Reverb and convolution

2D filtering; simulated motion blur

Sinusoidal speech

Frequency-sampled filter design; overlap-addition (« little speech »)

Band-pass filtering (« tinny speech »)

Sampling signals in continuous time; aliasing

2D bandpass filtering (« image popout effect »)

Notch filter design and implementation: 60 Hz denoising, image denoising

LPC Speech coding (« robot speech »)

Image processing: pseudo-color, histogram equalization, super-resolution

Formation of simulated CT and MR images

Audio and video signals for a short film

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

References bibliographic

A handout (Course Notes) from the teacher will be
Etienne Tisserand , Jean-François Pautex , Patrick Schweitzer (2009), Analysis and processing of signals, Methods and applications to sound and image. Collection Science Sup, Edition Dunod, 15/01/2009.
François Michaut (2016), Representation of signals and system, Science References Collection , Eyrolle, 03/03/2016.
Signal Processing First , by James H. McClellan, Ronald W. Schafer and Mark A. Yoder, Prentice-Hall, 2003

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Semester review

Learning outcomes:

A candidate who has successfully completed this course in electronics and telecommunications should possess the following total learning outcome defined in the form of general knowledge, skills and competences:

Students understand continuous and discrete time signals; period and frequency; Nyquist rate for sinusoids.
Students understand reverb and convolution; impulsive response; linear and shift-invariant systems, and demonstrate an artificial reverberator.
Students understand images as 2D signals; 2D convolution; point spread function. Students are able to apply a PSF model to predict experimental imaging outcomes from a noisy or low-light imaging experiment.
Students understand complex numbers; discrete Fourier series and discrete Fourier transform.
Students understand the design of frequency-sampled filters; circular convolution; overlay-add, and are able to design a low-pass filter to remove high-frequency noise from a voice audio signal.
Students understand discrete-time and continuous-time Fourier transforms; FIR filter design; sampling and are able to compare the results of different filter design methods for denoising audio, bioelectrical and image signals.
Students understand the 2D Fourier transform and frequency response, and are able to filter direction-dependent noise from an image.
Students understand the Z-transform; notch filtering and are able to filter out 60Hz and 0Hz noise from a bioelectrical signal.
Students understand linear predictive filtering and LPC-10 coding of speech, and are able to calculate the formant frequencies of a speech signal.
Students understand the human visual system; color representation; histogram equalization, and are able to process images to improve visibility of desired events.
Students understand the basics of the projection slice theorem, tomography, CT scan, MRI.
Students work in teams to prepare and present a final project demonstrating the application of theoretical and practical concepts to original data.

Electronics and Telecommunications Ele3101

Summary :

This course provides a foundation for understanding and designing high frequency electronics, especially microwaves and higher frequencies. At high frequencies, voltage, current, impedance and wave propagation quantities can no longer be analyzed using the ordinary electrical and electronic circuit approach alone.

For this reason, it requires in-depth knowledge about specific properties of RF transmission line components, impedance, refraction coefficient, scattering parameters for N-port circuits and various important aspects necessary in circuit design. active and passive telecommunications, such as RF amplifiers, mixers and oscillators. This lecture is taught using a tool or a Matlab tool.

Coded

Ele3101

Electronics and Telecommunications

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Course content

Main topics

Telecommunications / RF Electronic Components & Systems
Properties of High Frequency Passive RF Components
Transmission Line Analysis in RF System Design
Using blacksmith diagrams and programming in analysis and design
Single and multi-port network
Broadcast Settings
RF amplifier design
Technique of impedance adjustment and impedance transformation
High Frequency Filter and Oscillator Design Concepts

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

 Work to be done at home (mini-project, presentation, report, …)

References bibliographic

A handout (Course Notes) from the teacher will be
The references)
[1] Endroyono, dkk. « Modul Ajar Elektronika Telekomunikasi and Manual Praktikum » 2014
[2] Reinhold Ludwig&Pavel Bretchko, « RF Circuit Design, Theory and Applications », Prentice-Hall,
[3] MatLAB files from Reinhold Ludwig&Pavel Bretchko, « RF Circuit Design, Theory and
Requests”, Prentice-Hall, 2000.
[4] David M. Pozar, « Microwave Engineering » John Willey & Sons, 4th Edition, 2011
[5] Thomas S. Lavergetta, « Wireless Microwaves and RF Simplified », Artech House, 2nd edition, 2005

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly
DS Rating = 40% Control Continued
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued

Learning outcomes:

Awareness

Master the concepts, principles and procedures of telecommunications electronic design in the field of multimedia telecommunications, which has 3 main aspects, namely frequency, impedance and electromagnetic properties.

Specific skill

Able to formulate telecommunications electronic engineering problems, able to describe system design (eg RF amplifiers) and be able to use technology-based analysis and engineering tools (MatLab, CST).

General competence

Able to make decisions appropriately in the resolution of telecommunications electronics problems; problems based on the analysis of related information and data, including the use of programming tools.

Ele3103 Communication Systems

Summary :

Introduction to analog and digital modulation techniques, random processes and power spectral density. Effects of noise on different modulation schemes and the bandwidth requirements of these.

Coded

Ele3103

Ele3103 Communication Systems

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Thematic prerequisites

Fundamental Circuit Analysis
Fourier transform
Probability theory

Goals

Provide an introduction to the fundamentals of analog and sampled data communication systems with emphasis on system architectures, signal-to-noise ratios, and bandwidth requirements of amplitude, frequency, and coding modulation techniques impulses.

Official Description

Analog base of analog and digital communication systems: representation of signals and systems in the time and frequency domains; analog modulation schemes; random processes; noise prediction and analysis using random processes; noise sensitivity and bandwidth requirements of modulation schemes. Brief introduction to digital communication.

Content :

Topics:

Introduction to analog and digital communication systems
Signals and filters
Random signals and noise
Analog modulation techniques
Pulse Code Modulation Techniques
Digital modulation techniques

detailed content

Applications of the Fourier transform and its properties for signal transmission through a linear system.
Describe bandpass signals and systems.
Analysis of the bandwidth of a signal or a system.
Identification of baseband and modulated signals.
Writing expressions for amplitude modulated, double sideband, single sideband, vestigial sideband modulated signals,
Identification of their spectra and sketch circuit diagrams for their modulation and demodulation.
Writing expressions for angle modulated signals and phase and frequency modulated signals. Analyze their spectra and derive expressions for transmission bandwidths.
Circuit diagrams for generation and demodulation of frequency and phase modulated signals.
Identification of a random signal, obtaining the mean, autocorrelation and autocovariance functions of random processes.
Identification of a stationary and broadly stationary random process.
How to find the response of a linear filter to a random process.
Analysis of Gaussian random processes through linear systems.
Describe the power spectral density of random processes
Give the mathematical model of a narrow-band random process.
Evaluation of signal-to-noise ratios for analog modulation schemes (AM, DSB, SSB, VSB, FM and PM) and compare their performance.
Sampling a Continuous-Time Signal and Describing Quantization Noise in a Process
Obtain a pulse-code modulated signal, calculate quantization signal-to-noise ratios for uniform and non-uniform quantizers.
Obtain the power spectral densities of different line-coded signals (on-off, polar, bipolar, Manchester) and compare their bandwidths.
Apply hypothesis testing in detection and estimation.
Obtain the detection error probabilities of different online encoded baseband signals and compare these probabilities.
Design an optimal receiver for a polar signal in a Gaussian noise environment.

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

 Work to be done at home (mini-project, presentation, report, …)

References bibliographic

A handout (Course Notes) from the teacher will be

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly
DS Rating = 40% Control Continued
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued

Learning outcomes:

Students should know:

The Fundamentals of Analog Data Communication Systems
System architectures
The signal-to-noise ratios and bandwidth requirements of amplitude, frequency, and pulse-coding modulation techniques.
Sampling

Ele3102 microwave devices and circuits

Summary :

Electromagnetic wave propagation, microwave transmission systems, passive components, microwave tubes, microwave semiconductor devices, microwave integrated circuits, S-parameter analysis and microstrip transmission lines.

Coded

Ele3102

Microwave devices and circuits

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Prerequisites

Mathematics for the engineer
Electromagnetic theory
Physics of semiconductor devices

Description

This course develops students? design, analysis and evaluation skills at microwave frequencies where grouped elements (eg resistors, capacitors, inductors) are no longer appropriate. Through problem-solving and design activities, the course introduces students to passive and active microwave devices, including filters, amplifiers, mixers, couplers, power dividers, and diplexers, which are wireless communication systems between antenna and signal processor.

Goals

Provide a description of microwave devices and circuits useful in modern microwave radar and communication systems

Content :

Microwave transmission systems
microwave components
Microwave sources
Microwave integrated circuits

Detailed content:

Analyze transmission line circuits in terms of distributed impedances and admittances.
Infer transmission line properties such as characteristic impedance, propagation constant, and loss in terms of these distributed impedances and admittances.
Calculate input impedance, VSWR, reflection coefficient, and transmission coefficients for microwave circuits.
Design terminated transmission line circuits with specified VSWR and input impedance.
Calculate forward, reflected, and transmitted power at a microwave circuit junction.
Calculate signal attenuation due to conductor surface roughness and dielectric loss tangent.
Determine transmission line lengths, impedance, admittance, VSWR, and reflection coefficients for microwave circuits using the Smith chart.
Calculate the circuit parameters to allow the maximum power to be delivered from the source to the load.
Design single leg adjustment circuits to match complex load impedances using the Smith chart.
Design stripline and microstrip lines with specified characteristic impedances and effective line lengths.
Evaluate the suitability of transmission line structures and properties for specific application demands.
Derive the Z, Y, ABCD, and S parameter matrices for subnets and nets.
Explain the differences between S-parameters under different loading conditions.
Calculate the transducer gain of the network and use the raster representations of the network.
Interpret network properties from matrix representations, including network loss and reciprocity.
Derive the equivalence between lumped element circuits and transmission line circuits using ABCD matrices.
Design a single-section quarter-wavelength matching transformer in stripline or microstrip line.
Evaluate the frequency bandwidth of transmission line matching circuits.
Deduce the Q of a transmission line.
Design transmission line circuits using lumped element equivalents.
Convert between shunt and series elements using equivalent lumped element transformations.
Determine the resonant frequency and equivalent lumped element circuit patterns for combinations of transmission line stubs and transmission line circuits that approximate resonant lumped element circuits.
Design, analyze and troubleshoot circuits using Puff.
Interpret simulated Puff data to relate circuit dimensions to circuit performance.
Explain the mechanism for selecting filter elements based on the desired frequency response.
Design low-pass, high-pass, band-pass, and band-stop filters with prescribed frequency responses using lumped elements.
Design low-pass, high-pass, band-pass, and notch filters with prescribed frequency responses, material parameters, and size specifications using transmission lines.
Analyze a transmission line filter structure to determine its frequency response.
Design a tapped tip resonator in a microstrip filter to achieve the desired Q resonator.
Design multi-section wide-bandwidth impedance-matching circuits in the transmission line.
Analyze two-way and four-way power dividers for isolation and impedance matching.
Design two-way and four-way power dividers in the transmission line with prescribed power division.
Analyze two-way and four-way power combiners for isolation and impedance matching.
Design two-way and four-way power combiners in the transmission line for specified source and load impedances.
Design secondary line and coupled line directional couplers for isolation and load impedances specified in the microstrip.
Identify sources of noise in a microwave network and methods to improve them.
Explain r the meaning of bandwidth, gain, noise temperature, compression point and dynamic range of an amplifier.
Determine the noise figure of a microwave network that includes lossy filters and amplification stages.
Analyze microwave switching networks that include PIN diodes. ( 1 )
Calculate insertion losses for ON and OFF states of microwave PIN diode switching networks.
Design microwave switching networks using PIN diodes.
Write clear and organized documentation for a circuit design that delineates design trade-offs and justifies design choices.
Interpret measurement results, theorize about causes of differences between expected and actual behavior, test these theories using simulation tools, and prescribe modifications to improve the design.

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

References bibliographic

A handout (Course Notes) from the teacher will be
DM Pozar, Microwave Engineering, Addison-Wesley.

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Semester review

Learning outcomes:

Students should have the skills to design, analyze and evaluate microwave frequencies where lumped elements (eg resistors, capacitors, inductors) are no longer appropriate.
Students should have the skills to problem solve and design passive and active microwave devices, including filters, switches, mixers, couplers, power dividers and diplexers, which constitute wireless communication systems. wire between the antenna and the digital signal processor.

Software engineering subject sheets

During the year, students will be able to familiarize themselves with increasingly complex concepts presented in the following teaching units:

Logic
Algorithmic
Programming
Information systems and digital environment of the engineer
Object Oriented Programming

During the theoretical lessons, the students will acquire the basics of computer culture (Logic and Algorithmics) that they will be able to implement in the other parts.

Algorithmic advanced GINF3103

Summary:

Algorithmics is the set of rules and techniques that are involved in the definition and design of algorithms, i.e. systematic processes of resolution, by calculation, of a problem making it possible to describe the steps towards the result. In other words, an algorithm is a finite and unambiguous sequence of operations allowing to give the answer to a problem.

Coded

GINF3103

Algorithmic advanced

Volume Schedule : 3h Integrated lessons (by week)

Learning objectives and skills aimed

At the end of this teaching unit, the student will be able to :

Master the basic algorithmic concepts: components of a program, simple and structured types, control structures, subroutines
Design And realize of the algorithms And of the structures of data recursive Or No ;
Choose a sorting algorithm and explain how it works ;
Design A kind of data abstract To leave of specifications data in language natural ;
Choose And justify THE choice of one algorithm Or of one structure of data ;
Design a particular linear structure statically or dynamically ;
Implement primitives on lists, stacks and queues chained
Apply tree traversals on concrete examples: binary trees of

Elements of content

Part 1 (3 sessions)
- 1 session (3h): Introduction + data types (built-in types + enumerated + arrays + recording + examples) and control structures (choices + loops + examples)
- 2 sessions (6h): TD

Part 2 (5 sessions)
- 1 session (3h): subroutines + decomposition + local/global variable + formal/real parameter + passing parameters + example(s)
- 1 session (3h): recursion
- 1 session (3h): search and sorting (insertion, selection, bubble, fast)
- 2 sessions (6h): TD on part 2 (old DS and exams)
Part 3: (5 sessions)
- 3 sessions (9h): pointers + abstract data types (list + stack + queue + examples)
- 1 session (3h): binary tree + examples
- 1 session (3h): TD (former exams)

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Application exercises & Tutorials with discussion.

Knowledge and skills prerequisites

The student must know and be able to use the following concepts: constituents of a program, simple and structured types, control structures, subroutines.

References bibliographic

A handout (Course Notes) from the teacher will be
The following bibliographic recommendations should be considered :
- Thomas Cormen, “Algorithms: Basic notions”, Dunod Publisher, 2013, ISBN 2100702904, 9782100702909.

Modality devaluation

40% Continuous monitoring (Tests + Supervised homework, Attendance)
60% Review half-yearly

Learning outcomes:

Master the basics of algorithms,
Know the main data structures and some algorithms
Being able to organize a complex treatment by dividing it into procedures and
Be able to implement algorithms and develop programs written in a process of readability and

Data base GINF3106

Summary:

A database is a collection of information that is organized in such a way that it can be easily accessed, managed and updated. It is used by organizations as a method of storing, managing and retrieving information.

The data is organized in rows, columns and tables and is indexed to facilitate the search for information. The data is updated, completed or deleted as new information is added. They typically contain aggregations of records or data files, such as sales transactions, product catalogs and inventories, and customer profiles


Coded	: GINF3106	Basics of data

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Learning objectives and skills aimed

Integrated courses :

At the end of this course, the student must master the concepts relating to relational databases allowing their creation and manipulation.

Understand all the concepts underlying databases.
Deepen the concepts of modeling, design and implementation of databases .
Design a database respecting the rules and standards of data models.
Convert a conceptual diagram into a logical (relational) diagram
Apply the operations of relational algebra to query a

Practical work :

The goal of this practical workshop is to understand the key concepts of relational databases , to learn the basics of the SQL language using the Oracle Database database management system and to write queries to query and manipulate databases relational.

Define a base of data And A system of management of basics of data

Manage relational databases, thanks to the practice of the Oracle 11g DBMS and the language
To study THE language of query structure SQL with his different Be able

query relational databases using the SQL query SELECT.

Master the Data Manipulation Language (DML). Write queries to add, modify, and delete data stored in a relational database.
Master the Data Definition Language (LDD). Be able to create new tables and modify the structures of existing tables in a relational database .
Write SELECT queries
Manage other types of objects besides tables

Unit content

Chapter 1: General presentation: Shortcomings of the classic approach, history of databases, database environment, standard architecture of a database .
- Definitions
- Life cycle of a database data
- Database description levels data
- Architecture of a comic (ANSI/SPARK)
- Features of a DBMS
- Architecture of a DBMS
Chapter 2: Model Entity/Association
- Entities, attributes and identifiers
- Kinds of entities
- Associations binaries
- Entities weak
- Associations generalized
- Exercises of application
Chapter 3: Model relational
- Definition
- Model Concepts R
- Switching from E/A Model to Model Relational
  - Kinds of entities
  - Associations from one to several
  - Associations with entity type weak
  - Binary associations from many to several

Associations ternary
Back to the choice of identifiers

Exercises of application

Chapter 4: Functional dependencies and Standardization
- Update Anomalies (Insertion, Modification and deletion)
- Goals of Standardization
- Functional Dependencies and Graph of DF
- Key concept of a relationship
- There Standardization
  - First Form normal
  - second form normal
  - Third Form normal
  - Normal form of Boyce&Codd
- Informal principles of designing a comics
- Exercises of application
Chapter 5: Algebra relational
- Introduction
- Presentation of the comic example
- Algebra operators relational
  - The selection, denoted σσ;
  - The projection, denoted ππ ;
  - The Cartesian product, denoted ×× ;
  - The union, ∪∪ ;
  - The difference, −−.
- Expression of queries with algebra
- Exercises of application

Content :

Introduction to language SQL
- Concepts of base
- Server architecture Oracle
- Instance Oracle
- Diagram and Demonstration diagram of the base HR
Data retrieval with the SQL SELECT query from base
- ratings of course
- The command DESCRIBE
- SELECT query from base
- Activity : Queries

Restriction and Sorting of data
- Data restricted
- Sorting
- The variables of substitution
- Activity : Queries
Functions Monoline
- String Functions and Functions digital
- Functions on dates
- Activity : Queries
Conversion Functions and Expressions conditional
- Conversion functions and functions general
- Phrases conditional
- Activity : Queries
Functions of band
- Definition of the functions of band
- The GROUP BY and HAVING
- Activity : Queries
Displaying data from multiple tables
- Join Types: Inner Join + Outer Join + Join crossed
- Activity : Queries
THE subqueries
- Definition of a subquery
- Why use subqueries ?
- Types of subqueries
- Activity : Queries
Data Manipulation Language & Data Definition Language Data
- Data Manipulation Language (MDL)
- Data Definition Language (LDD)
- Activity : Queries

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Programming structured
Programming and structures dynamic

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
- Database courses – Models and languages: http://sql.bdpedia.fr/
- course on Databases: https: //www.cours-gratuit.com/cours-bases-de-donnees/cours-complet-sur-les-bases-de-donnees
- LORENTZ, D. (nd), « Oracle Database SQL Reference, 10g ». Oracle
- WATSON, J., & RAMKLASS, R. (nd). “OCA Oracle Database 11g. SQL Fundamentals I”. Exam Guide.Oracle
- Jerome Gabillaud. “Oracle 10g SQL, PL/SQL, SQL*Plus. 2005”. Editions
The following bibliographic recommendations should be considered :
- Gardarin G., Databases – object/relational, Eyrolles, 1999, ISBN: 2-212-09060-9
- Gardarin G., Mastering Databases: models and languages, Eyrolles
- Carrez C., From Structures to Databases, Mason
- Marcenac, P., Relational DBMS, Performance Optimization, Eyrolles
- Date CJ, An Introduction to Database Systems, Addison Wesley
- Date CJ, A Guide to SQL Standard, Addison Wesley

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Extract the desired information from any data source tabular
Solve A issue of treatment of data in designing And realizing A algorithm with THE language programming while respecting constraints of time complexity or spatial
Understand the fundamental mechanisms of IT allowing to organize a watch and to train oneself for the evolutions.

Database Management System GINF4106

Summary:

Database Management System, refers to computer software allowing the storage , consultation, updating, structuring or sharing of information in a database. It also guarantees the confidentiality and durability of this data. Indeed, there is no intermediary between the computer scientist and the data, nor between the user and the data.

Coded	GINF4106	Database Management System

Volume Time : 1:30 a.m. Integrated lessons + 1:30 a.m. Practical work (by week)

Learning objectives and skills aimed

At the end of this course , the student will be able to :

Integrated courses :

Master the functional architecture of the DBMS Oracle
Develop functions and programs in language PL/SQL
Manage PL/SQL programs in packages
Use the sliders
Implement error handling in er procedures functions
Create triggers (triggers)

Practical work :

Master a Procedural language for server-side development
Develop stored routines (Procedures and Functions)
Manipulate compound data
Optimize database operation

Content of the unit (Course integrated)

Introduction to Database Management Systems Data
- Basic features of a DBMS
- Presentation of the DBMS Oracle
- Functional architecture from Oracle
Language SQL
- The definition language of data
- The query language of data
- The manipulation of data
- The control language of data
Language PL/SQL
- Presentation of language
- Structure of a program PL/SQL
The management of explicit cursors and implicit
The management of exceptions
The stored subroutines (functions and procedures) and the packages
THE triggers

Content of the unit (Works practice)

TP1: Create and manipulate database data data
- Creation and modification of the structure of a Database Data
- Manipulation of data from a Database (INSERT, DELETE, UPDATE)
TP2 : Searching for data from a database Data
- Screenings and Restrictions simple
- Calculations of aggregates
- Complex restrictions and joins
- Queries nested
- Grouping
TP3 : Elements of language (Blocks, variable, structure of control)
- Blocks
- Variables
- Conditional check structures and iterative
- Kinds composed
TP4 : Cursors
- Cursor implicit
- Cursor explicit
TP5 : Stored procedures and functions and the Exceptions
TP6 : Triggers

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, etc.)
Personalized frame

Knowledge and skills prerequisites

Basic knowledge of Data

References bibliographic

Notes from the teacher’s lesson will
GABILLAUD, Oracle 10g PL/SQL. Editions ENI, 2005, ISBN 10: 2746028719 ISBN 13: 9782746028715
GABILLAUD, “ORACLE 11g SQL, PL/SQL, SQL*Plus”, Eni, 2009, ISBN: 978-2-7460-4858-4.
https://docs.oracle.com/cd/B10501_01/appdev.920/a96624/toc.htm
https://oracle.developpez.com/cours/#SQL-et-PL-SQL
Download Oracle 11g Express Edition http://www.oracle.com/technetwork/database/database-technologies/express- expression/downloads/index.html
Oracle SQL Download Developer

http://www.oracle.com/technetwork/developer-tools/sqldeveloper/downloads/index.html

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Produce an Entity-Relationship model from a realistic problem specification.
Describe the conceptual schema of a database.
Describe the physical schema of a database.
Use formal design techniques to produce a database schema. Applies standardization techniques.
Prepare the logical construct.
Design and apply the database from the logical schema model.
Manage a designed database.
Organize the database using relational algebra.
Organize the database using SQL.
Discuss the relative merits of the database management systems environment.
Apply environment changes to the database.

Database administration GINF4207

Summary :

Understanding the technical aspects of the design of a DBMS (database management systems) is necessary for understanding its architecture and operation and therefore essential for its administration.
Indeed, the function of database administrator requires varied skills, first of all in DBMS, but also in the physical structuring of data, in operating systems, even in networks.

Coded

: GINF4207

Database administration

Number of Hours : 1h30 Integrated lessons and 1h30 Practical work (per week) Option concerned: Level:

Learning objectives and skills aimed

At the end of this course, the student must master the aspects related to the administration of databases of

data.

Understand the architecture and operation of a database server
Ensure the interoperability of databases with the import concept and
Master the installation, configuration and upgrade of a database server
Master the creation and management of diagrams users
Master the allocation of rights access
Establish a backup strategy and

Course content

Architecture of a DBMS
Structure physical of there base of data (files Control, files Data, Newspapers, …)
Logical Structure (TableSpace, Schema, Extensions, segments)
Database management (creation, modification, start-stop, assembly, …)
Management of the instance

Service Setup network
Structures of storage
Transaction management and cancellation
User management (system and object privileges, role and profile)
Import and export of data
Archiving and restoration and recovery of a database data
maintenance, safety and performance

Works practice

TP1: Architecture of the server
TP2: Database and instance
TP3: User management (privilege, role and profile)
Practical work 4: Management of External and Internal Schemas (views, Views Materialized)
TP5: Storage management and cancellation
TP6: Maintenance, Performance and Security
TP7: Import and export of data
TP8: Archiving and restoration

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Basics of data
Language SQL
Object Oriented Programming (Java)
DBMS

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Razvan Bizoï, Eyrolles Tsoft, “Oracle 11g – Administration”, 2011, ISBN: 9782212128987

Razvan Bizoï, Eyrolles Tsoft, « Oracle 11g – Backup and restore », 2011, ISBN: 9782212128994
Olivier Heurtel, “Oracle 11g – Administration”, Editions Eni, 2008, ISBN: 9782746046146
Jérôme Gabillaud, « SQL Server 2012: Administration of a transactional database », Editions Eni, 2013, ISBN: 9782746081321

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

At the end of this course, the successful student:

have a broad understanding of database concepts and database management system software
have a high-level understanding of the major DBMS components and their function
be able to model the data requirements of an application using conceptual modeling tools such as ER diagrams and design database schemas based on the conceptual model.
be able to write SQL commands to create tables and indexes, insert/update/delete data and query data in a relational DBMS.
be able to program a data-intensive application using DBMS APIs .

Web development framework GINF4206

Summary:

Building scalable websites using client-side and server-side frameworks (e.g. JQuery, CodeIgniter). Data transfer technologies, for example XML and JSON. Build highly interactive websites using for example AJAX. Web Services. Deployment of applications and services on the web: servers, infrastructure services and traffic and performance analysis. Web development and applications for mobile devices.

Code : GINF4206 Web Development Framework

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

Master mobile development on IONIC

Interface User
Components IONIC
Workflow of development
Test
Integration

Course content

Interface User
Components IONIC
Workflow of development
Test
Integration

Teaching methods and learning

¨ Practical work (laboratory)

¨ Work to be done at home (mini-project, presentation, report , …)

Knowledge and skills prerequisites

Angular
HTML5, javascript, css

References bibliographic

IONIC 2 cook book

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes:

The subject-specific learning outcomes targeted.
Upon successful completion of the course, students will be able to:

Build and deploy highly interactive, scalable and maintainable web-based systems using various tools, platforms and frameworks.
Understand the technologies and trade-offs between usability and performance involved in building highly interactive web applications.
Implement simple web services and understand the relationship between websites and web services
Build responsive systems for mobile devices, using the web and as apps.
The intended generic learning outcomes. Upon successful completion of the module, students will be able to:
Demonstrate an understanding of the trade-offs involved in design choices.
Use computer facilities and information sources effectively to solve problems.
Be able to manage own learning and development, through self-directed study and continuous assessment work.
Efficiently use a range of tools, such as a web browser and a database query browser.

Web and Multimedia Development GINF3105

Summary:

The multimedia designer controls the consistency of the project, both technically and graphically.

He thus works on artistic issues (selection and/or creation of images, texts, music, videos), ergonomics and navigation (classification of information, rubrication).

Coded	GINF3105	Web and Multimedia Development

Volume Schedule : 3 hours of practical work (per week)

Learning objectives and skills aimed

AT the outcome of This module, the student will be able of realize A site website complete And scalable using the standard languages of the web.

Master the aspects related to the web: definition, operation and
Properly use the HTML5 language to structure the content of the pages
Apply user-friendly formatting to web pages with style sheets
Understand the principle of the JavaScript language and Use the jQuery library to improve the interactivity of the Internet user with the pages

Content :

Division 1: HTML5

Introduction to the web and its languages
The HTML language: presentation of the different tags standards
HTML5:
- new elements of forms and validation of fields
- the structuring tags of a page
- multimedia: drawing, audio and video

Section 2: Style sheets CSS3

Definition, principles and Style Sheet: basic rule and apps
The style selectors ( Tag, class and identifier and Grouping and hierarchy of selectors)
Formatting Properties: Text, List, Box, and painting
Positioning in CSS: Relative, absolute and static
Overflow, Visibility
New in CSS3: Shading, transparency & opacity and gradient + Transition and animation

Section 3: JavaScript

Basic syntax: variables, functions
The boxes of dialogues
The String, Date, and
The Document Object Model (DOM)
The Jquery standard library: Element selectors, Event handling, The management of HTML elements (content) and animation

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Practical work (laboratory)

 Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

References bibliographic

Denis MATARAZZO, “Learn HTML5, CSS3 and JavaScript languages to create your first website”, ENI, 2014. 295p. ISBN: 978-2746091054.
HTML5 online tutorial (https://www.w3schools.com/html/default.asp ).
CSS3 online tutorial (https://www.w3schools.com/css/default.asp ).
jQuery online tutorial (https://www.w3schools.com/jquery/jquery_get_started.asp ).
Photoshop CS3 Tutorial ( http://www.adobe.com/support/documentation/archived_content/fr/photoshop/cs3/photoshop_cs3_help.pdf ).

Modality devaluation

100% Continuous assessment (Graded mini-project, Attendance, Homework monitored)
60% Review half-yearly

Learning outcomes:

Express the basic notions related to multimedia.
Explain basic usage approaches for multimedia applications.
Categorize multimedia applications according to the purpose of use.
Explain the benefits of multimedia for teaching settings.
List the limitations of multimedia applications regarding design and development.
Explain types of multimedia applications.
Explain audio-based multimedia products.
Explain visual media products.
Explain animation-based multimedia products.
Design multimedia products.
Perform planning for multimedia products. b. Develop storyboards regarding the multimedia product to be developed.
Develop multimedia applications.
Explain the stages of multimedia development.
Develop static and dynamic images, sounds and graphics.
Organize static and dynamic images, sounds and graphics.
Prepare animations on audiovisual media using animation software.
Integrate multimedia applications into educational settings.
Associate a developed multimedia application with instructional software.
Carry out examples of educational activities using multimedia applications.

Advanced Web Development GINF3204

Summary:

Web development is the development of websites and web applications.

– front end

– backend or

– full stack


Coded	GINF3204	Web development Advance

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

Acquire the basic concepts of dynamic web programming (PHP) and become familiar with a PHP FrameWork (Symfony)

Learn and manipulate the basic concepts of dynamic web programming (PHP)
Know the principles of Object Oriented programming with PHP and Use the interface PDO
Learn and Discover the architecture and basic concepts of the Framework Symphony
Handle and master the following elements: Bundle, controller, Routing, Template Twig , doctrine2, Entity, CRUD…

Content :

Tp1: Bootstrap
Tp2: Basic language elements PHP
Variables, Format dates
Basic operators and functions (loops, foreach, gettype…)
Tables (simple and associative)
Tp3: The Forms
get and methods post
Collection and processing of data from forms
Passing parameters between 2 pages
TP4: The SESSIONS
Creation, manipulation and destruction of sessions
Management of an associative table of students via the sessions
TP5 and TP6: The DB
Interface PDO
DB creation via adminer.php and Operations CRUD
TP7: Installation of Symfony 3.4 and implementation hand
TP8: Basic operations (Symfony)
Controller, Routing and Shares
Template branch and legacy
TP 9: The Entities
Creation of entities
Discover “Doctrine2 »
Manipulate Annotations and generate data (strength)
TP 10: Relationships between entities
OneTo One
OneTo Many
Many To Many
TP11: The Forms
TP12: CRUD
Creation of CRUD pages (without using the command CRUD)
Exploitation of the form objects already acquired and the templates
TP 13: TP exam or defenses of mini-projects

Teaching methods and learning

¨ Practical work (laboratory)

¨ Work to be done at home (mini-project, presentation, report , …)

Knowledge and skills prerequisites

Web and Multimedia development: HTML 5, CSS3 and JavaScript

References bibliographic

Christophe Aubry, « Bootstrap 3 for the web integrator – CSS and Responsive Web Design » ENI, 2014. 370p. ISBN: 978-2746088672.
Vikram Vaswani, « XML and PHP », New Riders, 2002. ISBN: 0-73571-227-1.
Victor Thuillier, “PHP”, OpenClasserooms, 2014.
Bilal Amarni, « Symfony2 – Develop structured and efficient PHP websites », ENI, 2014. 514p. ISBN: 978-2746086906.
wordpress.com
https://www.adminer.org/#download
https://www.w3schools.com/php/php_mysql_connect.asp _
http://php.net/manual/en/index.php
https://symfony.com/doc/current/index.html

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes:

At the end of this course, the learner will be able to:

Describe, identify and debug issues related to web application development
Design and develop interactive web applications using the built-in server-side PHP scripting language
Use MySQL for data management and manipulate MySQL with PHP
Write PHP scripts to handle server-side operations
Apply design patterns to develop web applications

Linux GINF3108 Advanced Operating Systems

Summary: :

Linux is very popular in industry and Internet services. This will be an interactive hands-on course. Students will have access to their own dedicated Linux system on which to learn and explore. Main topics covered include using the command line, Linux tools, setting up your environment, automation, system utilities, file system layout, introductory shell programming.

Code : GINF3108 Linux advanced operating systems

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Learning objectives and skills aimed

This course aims to introduce students to the use of a GNU/Linux operating system (specifically Ubuntu LTS 16.04) and teach them how to work online with Linux commands; perform easy maintenance tasks such as user support, adding users to an extended system, backup and restore, shutdown and reset (reboot).

Course content

GNU and commands Unix
- THE filters
- Using the « vi » editor »
- Tubes and redirects
- Special characters, variables and variables environment
- THE process
System of files
- hard drives and partitioning
- File tree under linux
- Formatting and types of systems files
- File system integrity check and repair
- Assembly and disassembly of a system files
- Rights to files and directories
- Change owner and group on files and directories
- THE quota
- Research of files

Installation and management of packages
- The package manager Debian
- The RPM package manager and YUM
- Management libraries
Hardware architecture and management of peripheral devices
- Basic architecture of the computer
- Introduction to managing peripheral devices
The start of linux
- The levels of startup
- Configuring the startup
- The process of startup

Teaching methods and learning

Frontal teaching (masterful) with examples to solve together.
Practical work (laboratory)
Work to do at home: report

Knowledge and skills prerequisites

no prerequisites necessary !

References bibliographic

A handout (Notes of the course) of the teacher will be available: the course is available in the form of presentations in « Google drive »: https://goo.gl/BRWCY5
The following bibliographic recommendations should be considered :
- Sébastien ROHAUT, “Preparation for LPIC-1 certification”, ENI, 2017, 836 pages , ISBN: 978-2-409-00790-3

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly
DS Rating = 40% Control Continued
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued

Learning outcomes:

At the end of this course, you should be able to:

Explain the history and origins of the Linux operating system
Understand the theory of Linux design and operation
Ability to be productive in a Linux environment
Text editing in the Linux environment
Implement basic Linux tools
Configure the Linux environment

Programming and software development GINF3204

Coded

GINF3204

Programming and software development

GOALS

The aims of this subject are for students to develop an understanding of approaches to solving moderately complex problems with computers and to be able to demonstrate proficiency in designing and writing programs. The programming language used is Java.

INDICATIVE CONTENT

Topics covered will include:

Java Basics
Console in/out
Control flow
Definition of classes
Using Object References
Programming with arrays
Legacy
Polymorphism and abstract classes
Exception handling
UML basics
interfaces
Generics

INDICATIVE KEY LEARNING RESOURCES

At the beginning of the year, the coordinator will offer a textbook on Java programming which will be made available through the university bookstore and library. The currently suggested manual is Walter Savitch: Absolute Java . Pearson Education International. 4th edition (or 5th edition).

CAREERS / INDUSTRY LINKAGES

The computer industry is a large and constantly growing industry. Programming skills are essential for working in the IT industry, for example in software development companies, website development companies, telecommunications companies and game development companies. Most large companies have an IT department to manage their software or server. Programming skills are also necessary for employees of these IT departments.

Assessment :

Two programming assignments, worth 15% each, each requiring 15 hours of work. 30%
30 hours (labor required)
A 30-minute quiz worth 10% (estimated at 5 hours of preparation)
A project composed of two parts: A programming project worth 40%
A one-hour online quiz scheduled during the exam period (20%).

Obstacle requirement: To pass the subject, students must obtain at least 50% for the programming project and the quiz component.

Learning outcomes:

At the end of these subjects, students should be able to:

Apply object-oriented design concepts to solve computational problems
Read and understand a Java program of low to medium complexity
Write a Java program of small to medium complexity, which contains a number of classes with a console user interface
Be able to apply a range of data structures and algorithms in problem solving
Understand the process and methods of designing and implementing software using the Java programming language

Generic skills

At the end of this subject, students should have developed the following skills:

Understand key concepts of object-oriented programming and design, including classes, objects, encapsulation, inheritance, and polymorphism
Design, implement, and test a program for small to medium-sized problems in the Java programming language.

C Programming GINF3105

Coded

: GINF3105

C Programming

Volume Time : 03:00 Practical work (by week)

Learning objectives and skills aimed

This unit is for mastering the different algorithms and data structures seen in the advanced algorithmic unit. In addition, this unit is an opportunity to master several elements of the C language, namely :

THE pointers
Modular programming (makfile)
The management of files
The use of several libraries
THE

Course content

Reminder
- Structures conditional
- Structures iterative
- Paintings
- Structures
THE pointers
- Principle
- Arithmetic and handling
- Dynamic array allocation and matrices
- Pointers and structures
- Lists chained
THE functions
- Definition, call and declaration of function
- Parameter passing (by value, by address)
- Pointer to function
- Main function and its settings
- Functions with variable number of settings
Handling the functions of libraries
- h: Manipulation of strings characters
- h: functions math
- h: string and number conversions, random, search and sorting
- h: date and hour
Management of files
- Opening and closing of files
- I/O formatted
- I/O binaries
- Positioning
Programming modular
- Compilation separated
- Principle of the utility make
- Creation of a makefile
- General rules of compilation

Teaching methods and learning

Practical work (laboratory)
Work to be done at home (mini-project, report, …)

Knowledge and skills prerequisites

Algorithmic of base
Basic programming concepts VS

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Claude Delannoy, “The complete guide to the C language”, Eyrolles , 2014, 844p, ISBN: 978-2-212-29514-6.
- …

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes:

list C programming concepts.
Explain the basics of the C programming language.
Express variables and values.
Distinguish between arithmetic and logical operators.
code C programs using special structures.
Distinguish and compose loops.
Recognize and organize tables.
Design a complete program using C programming concepts.
prepare various projects by helping with C programming.
Prepare the project in C programming.
Manage and analyze the project prepared with programs.
Interpret and report on the achievement of results.

Compilation GINF3207


Coded	GINF3207	Compilation

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

The objective of this unit being to understand the basic principles inherent in the realization of one

compiler, namely :

Lexical analysis
analysis Syntax
Semantic analysis and generation of coded

The student will touch in the practical work of this unit two prototyping tools (LEX and YACC/BISON) to build lexical analyzers and syntax.

Course content

Introduction to compilation
- Definition of compilation
- Compilation vs. Interpretation
- Structure of a compiler
Analysis Lexical
- Lexemes
- Implementation of a parser lexical
- Errors lexical
Analysis Syntax
- Grammar
- Implementation of a parser syntactic
- Analysis descending
- Analysis ascending
- Errors syntactic
Theory of languages: The automata
- Classification of grammars
- State machines finished
- The machines at Battery
Analysis Semantics
- Definition led by syntax
- Scope of identifiers
- Control of kind
Generation of coded
- Environment execution
- Coded Intermediate
- Optimization of coded

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Algorithms & Structures data
Programming VS

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
Alfred Aho, Monica Lam, Ravi Sethi and Jeffrey D. Ullman, “Compilers Principles, techniques and tools”, Pearson education, 2007, 920 p, EAN13:
Silverio Nino, “Building a compiler: Lex and Yacc tools”, Eyrolles, 1994, ISBN = 2-212-08834-5.
Gautier, “Compilation of programming languages”, Ellipses.
Grune, “Modern compiler design”, Willy.

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes:

At the end of this course, the student will be able to:

analyze compilation tasks and apply standard compilation techniques.
develop, implement and apply modifications to standard compilation techniques and algorithms whenever necessary.
understand and implement design decisions in modern compilers .

Index :

Compile, identify, create, plan, review, analyze, design, select, use, apply, demonstrate, prepare, use, calculate, discuss, explain, predict, evaluate, compare, rate, criticize, describe or evaluate.

Real-time and embedded systems TER001

Code : TE R001 Real-time and embedded systems

Course Description

Introduction to real-time systems; C for real-time systems; Synchronization and communication; Real-time planning systems; Advanced planning; Simulation of a real-time system.

Teaching forms

Conferences

The courses are organized in two blocks: the first block includes lectures and an intermediate exam, while the second includes lectures and a final exam.

Independent assignments

Students must independently solve 2 practical tasks (homework).

Laboratory

Students independently solve practical tasks through laboratory exercises .

Content :

TOPIC 1: Introduction to real-time systems

Introduction Design and modeling of real-time systems Implementation alternatives Testing and reliability Security and certification Trends and future directions

SUBJECT 2: The C language for real-time systems, 2 computer exercise)
TOPIC 3: Synchronization, communication and planning

VxWorks: a real-time operating system using VxWorks semaphores Synchronization and priority inversion Synchronization and communication Blocking message queues TOPIC 4:
Advanced scheduling (conferences, 1 tutorial) Dynamic scheduling Managing aperiodic tasks Task modeling aperiodic scheduling Advanced scheduling Scheduling with blocking multiprocessor systems

TOPIC 5: Sequential process communication (lectures, 1 extended computer lab exercise)

Small group discovery experience:

The computer exercise allows students to work in the laboratory in small groups with teachers.

Tutorial : (computer exercise) Modeling Periodic Tasks Cyclic Frames Round Robin Rate Monotonic Scheduling Scheduling Real Time Systems Rate Monotonic Analysis Delay Tasks Constraints

Teaching methods and learning

This course relies on lectures as the primary mechanism for delivering the material. Tutorials complement the lectures by providing exercises and sample problems to enhance the understanding gained from the lectures. Computer-based exercises are used to provide hands-on experience for students to reinforce theoretical concepts encountered in lectures.

Continuous assessment activities provide students with formative assessment opportunities to assess their progress and understanding.

Tutorials: these will give students the opportunity to practice through solving a set of problems.

Problems will be available before the tutorial, and students should prepare by answering all possible problems and formulating questions to help solve the remaining problems.

During the tutoring, the students will work together and with the help of tutors to solve the remaining problems.
Computer exercises: these will be undertaken individually in a computer suite.

An exercise worksheet will introduce students to the C programming language.

These will be highly structured.

Extended Computer Exercise: The final topic, Real-Time Adaptive Filters, is presented as a project-based exercise in which students develop software to solve a real-time problem using the C programming language. The problem will be specified in terms of required function. Certain class time slots devoted to this subject will serve as discussion forums in which students can ask questions and seek advice from the lecturer.

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

References bibliographic

A handout (Course Notes) from the teacher will be available.

Recommended References:
Burns and Wellings, « Real-Time Systems and Programming Languages: Ada, Real-Time Java and C/Real-Time POSIX », 4th edition, Addison Wesley, 2009 Laplante and Ovasaka, « Real-Time Systems Design and Analysis: Tools for the Practitioner” (4th Edition)
Posix Threads (Pthreads) Application Programming Interface-Appendix B, Linux for Embedded and Real-time Applications, Chapter Appendix B, pp.275-286 (available from the Barr Library -Smith)
Kernighan and Ritchie, “The C Programming Language”, 2nd edition, Prentice Hall, 1988
Tanenbaum “Modern Operating Systems” 2nd ed., 2001
Blum “Exploring Arduino: Tools and techniques for Engineering Wizardry” Wiley, 2013.

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of this course, students will be able to:

1	correctly apply terminology and list applications of real-time systems
2	translate real-time system requirements into forms that can be encoded.
3	work within the limits imposed by the real-time aspects of the systems
4	reformulate practical design problems into real-time task models for analysis, evaluation, or implementation
5	evaluate the implications of design choices on real-time system implementation
6	be able to explain the purpose and structure of a real-time operating system
7	implement simple real-time functions using a real-time operating system and a programming language suitable for embedded real-time systems
8	analyze and schedule sets of tasks in real time on a single processor
9	apply the real-time methodology to multiprocessor and distributed systems

Complexity of algorithms and graphs GINF3202

Coded

GINF3202

Complexity of algorithms and graphs

Volume Schedule : 1h:30 Integrated lessons + 1h:30 practical work (by week)

Learning objectives and skills aimed

Introduce performance evaluation techniques of algorithms.
Analyze a problem to assess its algorithmic difficulty (in the sense of complexity theory),
Show how to improve the performance of an algorithm, using advanced design paradigms and techniques of algorithms
Study graphs with a focus on trees. The idea is that the trees will be cases of application of the part

Course content

Chapter 1 (3h): Introduction and motivation: Computability theory and theory of complexity
Chapter 2 (3h): Preliminaries: mathematical reminders and algorithmic
Chapter 3 (4h30): Temporal complexity (1) :
Motivation and objective: “Benchmarking »
The worst, the best and the average case
Complexity: definition, properties, class of complexity
Chapter 4 (3h): Temporal complexity (2): Analysis of the structures of control
Chapter 5 (4h30): Theory of NP-Completeness and Methods for practical resolution of difficult problems (NP-Complete, NP-Difficult): divide and conquer, heuristics, greedy algorithm, dynamic programming, etc
Chapter 6 (3h): The trees
Chapter 7 (3h): The ABR
Chapter 8 (3h): The AVL
Chapter 9 (3h): The graphs

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

Knowledge and skills prerequisites

Algorithms and data structures 1
Abstract Data Types (Lists, Stacks, files)

References bibliographic

A handout (Course Notes) from the teacher will be

Modality devaluation

40% Continuous monitoring (Test, Attendance, Homework monitored)
60% Review half-yearly

Learning outcomes:

At the end of this subject, the student should be able to:

Design, manipulate, and reason about a variety of techniques to solve sorting, searching, and graphing problems
Write efficient algorithms and data structures for a variety of fundamental problems
Conduct formal reasoning on problem complexity and algorithmic efficiency
Recognize standard algorithm design techniques and apply these techniques to develop new computational solutions to problems

Generic skills

At the end of this subject, students should have the following skills:

Application of knowledge of fundamental principles of science and engineering
Effective communication about computational efficiency
Ability to reason and solve problems
Ability to undertake problem identification, formulation and solution
Capacity for creativity and innovation
Deep respect for truth and intellectual integrity, as well as the ethics of scholarship

object-oriented programming GINF3203

Coded

: GINF3203

object-oriented programming

Volume Time : 01:30 Integrated lessons + 03:00 Practical work (by week)

Learning objectives and skills aimed

Introduction to the Object paradigm and learning the basic principles of object-oriented programming. Learn to identify objects and classes in a problem and to solve a problem using a set of objects interacting

Course content

The map of course

Chapter 1: Presentation of the language Java
- Historical
- JDK/JRE/JVM
- Hello SUPTECH: Example
Chapter 2: Concept Object
- Abstraction
- encapsulation
- Legacy
- Polymorphism
Chapter 3: Language Basics Java
- Kinds primitives
- Operators (binary, ternary, relational, logic)
- The structures (controls, iterative)
Chapter 4: Classes and Objects Java
- Modifiers of visibility
- Attributes/Constructors/Methods
- Instance members and classes
Chapter 5: The basics of the java language (following)
- Table/Matrix
- Chain of character/StringBuffer
- wrapper

Chapter 6: Inheritance, polymorphism and interfaces
- Legacy
- Class and method abstract
- THE packages
- Polymorphism
- Interface
Chapter 7: The exceptions
- Kinds
- Exception handling without spread
- Exception handling with spread
- Definition of news exceptions
- The block finally
- Examples
Chapter 8: The entries exits
- File manipulation texts
- File handling data
- Serialization

Content « Works Practice »

TP 01: Implementation road
- Installing the environment work
- Programming in Console Mode Bonjour Monde
- Primitive data types, constants, operators
- The methods static
TP 02: Classes and objects
- Builders
- Properties of attributes
- Private attributes/constructors multiple
TP 03: Arrays & Chains of characters
- Single table dimension
- Table for two dimensions
- Class String
- Class StringBuffer
- Painting of object
TP 04: Legacy
TP 05: Heritage/Class abstract
TP 06: Interface
TP 07: The exceptions
- Exception handling without spread
- Exception handling with spread
- Instruction throw
- Definition of news exceptions
- The block finally
TP 08: The entries exits
- File manipulation text
- File manipulation binary
- Serialization of objects

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Algorithms and structures of
Programming

References bibliographic

A handout (Course Notes) from the teacher will be
The following bibliographic recommendations should be considered :
- James Gosling, Bill Joy, Guy L. Steele, Jr., Gilad Bracha, and Alex Buckley. The Java Language Specification, Java SE 7 Edition . Addison-Wesley Professional, 1st edition,
- Boyarsky and S. Selikoff. OCA: Oracle Certified Associate Java SE 8 Programmer I Study Guide: Exam 1Z0-808 . Wiley, 2014, ISBN: 9781118957424.
- Anne Tasso, The First Java Language Book: With 90 Corrected Exercises, Eyrolles, 2011, ISBN: 2212133073

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

At the end of this subject, the student must:

Apply software design principles to object-oriented design
Develop object-oriented models for a medium-sized software system
Assess the design trade-off of different designs
Implement an object-oriented design in an adapted language
Use commonly available object-oriented design frameworks for application development
Apply knowledge of the fundamentals of science and engineering

Generic skills:

At the end of this subject, students should have the following skills:

An ability to apply knowledge of the fundamental principles of science and engineering
In-depth technical competence in at least one engineering discipline
An ability to undertake problem identification, formulation and solution
An expectation of the need to undertake lifelong learning and the ability to do so

Advanced Object Oriented Programming GINF4105

Coded

: GINF4105

Advanced Object Oriented Programming

Volume Time : 1:30 a.m. Integrated lessons + 1:30 a.m. Practical work (by week)

Learning objectives and skills aimed

The student will be able to develop applications using an object approach. Specifically, familiarize yourself with the concepts of object technology. The student should be able to create computer applications based on the object-oriented programming paradigm. On the other hand, the emphasis will be on advanced notions of the programming language JAVA.

The objective is to present a synthetic overview of the main libraries concerning input/output programming (text files, binary files, object files), event-driven programming (graphical interfaces), concurrent programming (threads).

Course content

Chapter 1 : Introduction
- AWT/SWING
- Heavy components & light
Chapter 2: Components SWING
- Creation
- Handling
Chapter 3: Manager arrangement
- FlowLayout, BorderLayout, GridLayout, BoxLayout and GridBagLayout
- Without layout manager flow
Chapter 4: Managing events
- The “Listeners »
- The “Adapt »
- The classes anonymous
- Examples
Chapter 5: Accessing the Database data
- JDBC API
- Loading drivers/Connecting to the database data
- statement, PreparedStatement
- Handling and execution of select/update requests days
- Creating a model of a JTable (DefaultTableModel)
- Examples
Chapter 6: Graphic Design Java
- Class graphics
- Java 2D
- Examples (Paint)
Chapter 7: Thread
- Creation of a thread and Life cycle of a thread
- THE process
- Synchronization
- Examples
- Thread & swing
Chapter 8: Collections and type generic
- Set, List, Map and Class collections
- Generic types: example

Content (TP)

TP 01 : Graphical interfaces – handling of components
TP 02 : Graphical interfaces – handling of layout
TP 03 : Graphical interfaces – handling of events
TP 04 : Graphical interfaces – one synthesis
TP 05 : Access to the database data
TP 06 : Using the JTable with a database data
TP 07 : Drawing with Java
TP 08 : Thread: creation, synchronization
TP 09 : Collections and types generic

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to do at home (mini-project)

Knowledge and skills prerequisites

Programming paradigms (notions of the concept object).

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Thierry GROUSSARD, JAVA 8. – Fundamentals of language, ENI, 501 pages, 2014, ISBN: 2746089769
- Claudius DELANNOY, Program in Java – Java 5 To 7, Eyrolles – 868 pages, 8th edition , 27

September 2012, ISBN: 2212135661

Claude DELANNOY, Covers Java 5.0, Eyrolles – 313 pages, 2nd edition , August 1 , 2006, ISBN: 2212119895

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Upon successful completion of this course, students will be able to:

Develop non-trivial computer programs following recognized object-oriented principles.
Critically evaluate the suitability of a commercially relevant implementation language in solving particular problems.
Describe concepts used in programming and discuss programming using professional computing vocabulary.
Choose and use appropriate data structures and algorithms in building programs.
Apply principles-based design techniques in building software.
Choose and use appropriate software testing strategies.
Think critically about both the process and the results of software creation.

Event driven programming (Symfony) GINF4107

Coded

: GINF4107

Event driven programming (Symfony)

Volume Time : 3 a.m. Practical work (by week)

Learning objectives and skills aimed

Take control of the reference PHP Framework: Symphony
Learn to use good PHP development practices to design a professional quality website: « SUPTECH Job « .
design controllers, templates, forms and communicate with a database via Doctrine …

Course content

TP1: Reminder Symphony
- Preparing the environment for work
- Description of our project “SUPTECH Job »
- Creation of Bundle
- Generation of controllers
- toolbar symfony
- Rooting
- Handle requests from controller
TP2: Handling templates branch
- Basic notion Twig
- Legacy in Twig
- Legacy multiple
- waterfall style
- Inclusion since branch
- Included since controller
TP 3: Handling of entities
- Creation of the entity Job
- Doctrine
- Registration of entities in the database data
- One-way relationships between entities
One To relationship One
Many-to relationship One
Many-to relationship Many
Many to Many relationship with attributes
Exercise 4: Handling of forms
- Display a form
- Management of the submission of a form
- render a field optional
- Manage the default values of a form
- Recover an object from the DB in a form
- Customize the display of a form
- Outsource the definition of forms
Exercise 5: User management: FOSUserBundle
- Compose
- Install FOSUserBundle
- Configure FOSUserBundle
Exercise 6: Management of roles
- Definition of roles
- Manage access via roads
- Manage access from controller
- Manage access from template

Teaching methods and learning

¨ Practical work (laboratory)

¨ Work to do at home (mini-project, Report)

Knowledge and skills prerequisites

OOP
HTML5/CSS/Javascript + PHP

References bibliographic

A PDF document (Course Notes) from the teacher will be
https://symfony.com/doc/current/index.html
https://www.w3schools.com/php/default.asp
http://php.net/manual/en/index.php

Modality devaluation

100% Practical work (mini-project with oral presentation, report)

Learning outcomes:

Upon successful completion of this course, students will be able to:

Essential MVC web software architecture pattern
Implement the MVC pattern with Symfony Essential
Use and install a Mysql database, Important
Master ORM (object relational mapping) with Doctrine,

Software engineering GINF4101


Coded	: GINF4101	Genius software

Volume Time : 1h:30 Integrated lessons + 00:75 Practical work (by week)

Learning objectives and skills aimed

The student understands and can explain the advantages of a methodology for development

iterative and incremental.

Depending on the characteristics of a given project, the student is able to select,

adapt and apply the development methodology appropriate.

The student knows advanced design and architecture principles and can use them to lead the design phase of a
The student is aware that software is a complex system in evolution
The student knows how to improve, extend and integrate existing software, while maintaining their quality.

Course content

Principles and values of development methods agile
- Creation of value
- Management of risk
- Culture team
- Relationships clients
Good practices and techniques for management
- Management of communication between parties stakeholders
- Project Reviews, Quality Assurance and Management of changes
- Iterative planning and incremental
Development methodologies modern
- Overview and comparison of different approaches
- Unified Process (UP), eXtreme Programming (XP), Scrum
- Implications for the management of project

Principles of evolution :
- development, maintenance, evolution
- « Software aging”
- Understanding of coded
Analysis and quality of software
- Metrics, Visualization Techniques and Debugging systematic
- Quality control continued
- Control Techniques of architecture
Code evolution inherited
- Re-Technologies: Reverse Engineering, Re-Engineering, Refactoring
- Oriented re-engineering object
- Work efficiently with code inherited

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Oriented design and programming object

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Upon successful completion of this course, students will be able to:

How to apply the software engineering life cycle by demonstrating skills in communication, planning, analysis, design, construction and deployment
An ability to work in one or more important application areas
Work individually and as part of a multidisciplinary team to develop and deliver quality software
Demonstrate an understanding of and apply current theories, models, and techniques that provide a foundation for the software lifecycle
Demonstrate an ability to use the techniques and tools necessary for engineering practice

Artificial intelligence GINF4104

Code : GINF4104 Intelligence artificial

Volume Time : 01h30 Integrated lessons + 1h30 Practical work (by week)

Learning objectives and skills aimed

Know the basics of intelligence
Understand the characteristics and properties of the basic techniques used in artificial intelligence.
Knowing how to apply the different approaches depending on the problem at hand

Course content

Chapter 0: Introduction to Intelligence Artificial _
Definitions
Historical
Subdomains of application
Chapter 1: Logic of proposals
Language formal
Atoms, syntax, construction tree of formulas
Semantics, valid formula, satisfiable, unsatisfiable
Result logic
Truth Table / Tree of resolution
Conjunctive Normal Form / Disjunctive
Boundaries

Chapter 2: Logic of predicates
Vocabulary
Formulation, quantifiers
Rules of inference
Range of a quantifier
Free/bound occurrences of variables
Putting into clausal form a formula
Resolution

Chapter 3: Knowledge-Based Systems (SBC)
Production systems, chaining before/ back
Systems experts
Engineering of a SBC
Types of reasoning and examples
Chapter 4: Networks of neurons
Neurons organic
Neural networks artificial
Modeling and functioning of a neuron artificial
Learning: Definitions and guys
Learning supervised
learning no supervised
Examples

Content: Works practice

For practical work, the plan followed is as follows :

TP 1: Initiation to Prolog
Practical work 2: Recursion in Prolog
TP 3: Lists in Prolog
TP 4: Mini Project: Setting up a System Expert

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Algorithms and structures of data
Statistics and probabilities

References bibliographic

A teacher’s course will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Steward Russell and Peter Norvig, “Artificial Intelligence”, Pearson, 2010. 1175 p. ISBN: 978-0-13-604259-4

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Upon successful completion of this course, students will be able to:

Distinguish a conventional system from an intelligent system.
Describes data, information and knowledge.
Explains algorithmic and heuristic methods.
Defines structured and unstructured.
Explains the concept of artificial intelligence and its applications.
Knows how to represent knowledge.
Describes research methods.
Explains approximate reasoning.
Represent knowledge using different techniques.
Explains first-order logic and predicate calculus.
Explain the semantic network.
Explains the rule-based system.
Explains the case-based system.
Uses appropriate research technique to achieve desired goals.
Knows about state space search.
Distinguish between data-driven research and goal-driven research.
Uses depth-first search and breadth-first search.
Uses certain heuristic search methods.

Introduction to Deep Learning for the Physical Layer AI01

Coded

: AI01

Introduction to Deep Learning for the Physical Layer AI01

Hours : 0h75 Integrated lessons & 1h30 Practical work (per week)

Description of the training

Get an introduction to key deep learning concepts and their practical applications to communication problems, ranging from channel estimation, on a full neural OFDM receiver, to a fully neural network-based communication system that does not use any traditional algorithm.

Learning objectives and skills aimed

This course first provides an overview of the current 3GPP-based RAN architecture, covering different deployment options such as D-RAN, C-RAN and V-RAN. In this context, RAN splitting options are discussed, focusing on splitting the upper and lower layers (HLS and LLS, respectively).

Next, the limitations and overhead resulting from proprietary aspects of 3GPP-based non-open RAN solutions are analyzed, laying the foundation for the presentation of the O-RAN framework.

The O-RAN proposal is first introduced by presenting the relevant standardization effort, the ecosystem, the parties involved and the current status of deployment.

Next, the technical aspects of O-RAN are analyzed, including architecture, interfaces, software and hardware aspects, and the role of virtualization.

A detailed analysis of the role of intelligent RAN controllers (RICs) is provided, explaining how the architecture of RICs opens up the RAN to innovative solutions and features.

Finally, the instructor presents case studies of early adopters of O-RAN, summarizing key findings from these early deployments and discussing potential challenges and threats to O-RAN.

Content

The following topics will be covered:

Part I – Introduction and Introduction to Machine Learning and Deep Learning
- Introduction and Basics of Machine Learning

What is ML/AI?
When (not) to use ML?
What can ML do for communications?
3GPP Rel. 18 ML/AI activities
Components of an ML system
Feed-forward neural networks
Gradient descent and backpropagation

Advanced neural network architectures

Convolutional Neural Networks

Stride and pooling
Receptive field and dilated convolutions
Depth-separable convolutions

Ignore Connections and ResNets

Attention & transformers
Graphical neural networks
Introduction to the Sionna Software Library

Part II – Applications of deep learning for communications
- Neural OFDM Multi-User MIMO Receivers

Hands-on: Implementation of a single-user neural OFDM receiver
Extension to multi-user MIMO OFDM
Comparison of recent MIMO receivers based on deep learning

Deep learning for channel decoding

Weighted decoding of belief propagation
Learned message passing decoding using graphical neural networks

End-to-end learning

What is E2E learning?
Bit-metric decoding rate
Geometric shaping
Gradient estimation
Hands-on: Train your first autoencoder
Turbo auto-encoders

Teaching and learning methods

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Solid experience in digital communication systems, especially the physical layer (OFDM, MIMO, modulation, detection, estimation, channel coding)
Background to basic information theory, signal processing and wireless communications.
A basic knowledge of machine learning and, in particular, deep learning is a good thing, but it is not a prerequisite.
Knowledge of the Python programming language as well as TensorFlow or PyTorch is beneficial

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographical recommendations .

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of this course, you will have acquired :

After this course, students will be able to:

Identify when it makes sense to use machine learning to solve a problem.
Be aware of current 3GPP standardization efforts as they relate to AI/ML.
Set up simple experiments to solve physical layer problems using neural networks.
Understand the idea of end-to-end learning and related challenges.
Recognize the most important state-of-the-art neural network architectures relevant to the physical layer.

Advanced systems and architectures GINF4109

Code : GINF4109 Advanced systems and architectures

Volume Schedule : 1.5h Integrated courses (by week)

Learning objectives and skills aimed

This unit discusses the hardware technologies and architectures present in contemporary computers. The points discussed in the course are related to the advances reached from the point of view of organizations, architectures and technologies adopted by computers and their components. The practical work of this course is an opportunity to discover the programming methods allowing to benefit from the power of the components materials.

At the end of this module , the student must :

Know the main computer technologies
Be able to characterize several types of architectures
Knowing how to benefit from the powers of each

Content :

Hardware architectures and performance
- Definition of performance
- Metrics of performance
- Factors of performance
- Performance Evaluation (Benchmarks)
Organization of machinery
- Principle of a computer
- Classification of machinery (Flynn, Hwang)
- Supercomputers
- Clusters
- Grids
processors
- Architectures (RISC / CISC /VLIW)
- Vector processors and pipelining
- Multi-processing (UMA /NUMA)
- Multicore
- GPUs and GPGPUs
- Calculation co-processors (Xeon PHI)

Memory
- Hierarchy memory
- Memory central
- Memory hidden
- Memory Virtual
- Memoirs virtualized
- Use of memory levels and optimization of programs
Discs
- Discs magnetic
- Discs optical
- Discs SSD
- RAID
Virtualization
- Principle
- Architecture of hypervisors
- Examples of hypervisors
- Virtualization and cloud

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, report, …)

Knowledge and skills prerequisites

Architectures of computers
Programming VS

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Douglas E. Comer, “Essentials of Computer Architecture”, Pearson, 2005, 394p, ISBN: 0-13-149179-2 .
- David A. Patterson & John L. Hennessy , « Computer Organization and Design, The Hardware / Software Interface », Morgan Kaufmann, Fourth edition 2009, 912p, ISBN: 0123744938

Modality devaluation

40% Continuous monitoring (Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcomes:

Upon successful completion of this course, students will be able to:

Demonstrate the concepts of hardware/software parallelism.
Describe the architectural features of advanced processors.
Understand the program performance trade-offs dictated by modern computer design
Discuss memory organization and mapping techniques.
Design programs with memory hierarchy and caching in mind
Design programs for parallel architectures with parallelism in mind
Analyze different storage schemes and use this knowledge in a real industrial context.
Interpret the performance of different pipelined processors.
Explain data flow in arithmetic algorithms
Software development to solve computationally intensive problems.
Familiarize yourself with modern directions of IT architecture design.

Distributed Systems GINF4108

Coded

: GINF4108

Distributed Systems

Volume Schedule : 1.5h Integrated courses (by week)

Learning objectives and skills aimed

At the end of this course the student will be able to :

List the characteristics of systems and applications distributed
Master the development of client/server applications using the sockets
Master the development of distributed applications using the RMI
Design algorithms for applications distributed

Course content

Introduction general
- Communication, distributed applications: services provided, principles of achievement
- Respective place of the operating system, the communication layers, the middleware
- Common notions: names, addresses, connection, notions of protocol and interface
Sockets client-server programming – PRC
- Implementation of the client-server model on the transport layer (sockets + PRC)
- Realization of the RPC (stubs, IDL, conversion of settings…)
Introduction to Java Distributed Objects RMI
- Introduction to Objects distributed
- Basic patterns: proxy, factory, naming
- An example of object middleware: Java RMI
- Use
- Principles and technical details of implementation work
Introduction to systems algorithms distributed
- Time and state in a system
- Process cooperation distributed
- Tolerance to faults
- Consensus and validation
- Designation in systems distributed
- Distributed management of information

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

C Programming and Programming JAVA
Systems operating
Introduction to networks

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Coulouris, J. Dollimore, T. Kindberg, G. Blair, “Distributed Systems: Concepts and Design”, Addison-Wesley, 5th Ed., 1047 pages, 2012.

Modality devaluation

40% Continuous monitoring (Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes:

Upon successful completion of this course, students will be able to:

Apply knowledge of distributed systems techniques and methodologies.
Explain the design and development of distributed systems and distributed system applications.
Use the application of fundamental computer science methods and algorithms in the development of distributed systems and distributed system applications.
Discuss the design and testing of a large software system and be able to communicate this design to others.

Object modeling language (UML) GINF4102

Code : GINF4102 Object Modeling Language (UML)

Volume Schedule : 3h Integrated lessons and 0h75 Practical work (by week)

Learning objectives and skills aimed

The implementation of « best practices » for object-oriented analysis and design is a fundamental issue in the development of software systems. The objective of this course is to discover the basics of object-oriented modeling of computer systems in UML: knowing how to choose and create a model according to the view to be represented (functional, static, dynamic) and the chosen level of abstraction (expression requirements, analysis, design). Present the unified process (UP) as well as a development approach based on UP. Implement a minimalist approach for the development of a computer system through a study of case.

Course content

Introduction
Use Case Diagram (Graphical Descriptions and textual)
Diagram of activities
Diagram of classes
Diagram of objects
Diagram of sequences
Diagram of states-transitions
Diagram of components
Diagram of deployment
Diagram of packages

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Oriented Programming Object

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download relating to software
The following bibliographic recommendations should be considered :
- Booch G., Rumbaugh J., Jacobson I., “Unified Modeling Language User Guide”, Addison-Wesley,
- Muller PA, Nathalie G., “Object modeling with UML”, 2nd edition, Eyrolles, February 2000, Paris.
- Roques P., Vallée F., “UML in action”, 2nd edition, Eyrolles, November 2002,
- Roques P., “UML 2, Modeling a Web application”, 4th edition, Eyrolles, October 2008, Paris.
- Rumbaugh J., Jacobson I., Booch G., “Unified Modeling Language Reference Manual”, Addison-Wesley,

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued
DS Rating = 40% Control Continued

Learning outcomes

Upon successful completion of this subject, students should:

be able to describe and apply an iterative incremental software development process;
be able to analyze and verify system requirements;
be able to produce and verify analysis and design models of a system;
be able to assess a problem and determine the appropriate architectural style for the solution;
be able to evaluate and choose appropriate software design patterns to compose the design of a software system;
be able to demonstrate the use of a Computer Aided Software Engineering (CASE) tool to document models of a system.

Software Architecture & Design Patterns GINF4201

Coded

: GINF4201

Software Architecture & Design Patterns

Volume Time : 1h30 Practical work (by week)

Learning objectives and skills aimed

Software architecture is concerned with defining a clear and structured solution that best meets technical and operational requirements, while optimizing common quality attributes such as performance, security and interoperability. It results in a series of decisions that are based on a wide set of factors, each of which can have a significant impact on the quality, performance, maintenance and overall success of the software. Architectural design should detail system components, structure, and connectors, allowing to meet all scenarios and usage situations, while hiding details of implementation.

This course aims to detail this notion of software architecture by presenting its key concepts and its associated languages. It presents the main design patterns of GoF describing proven solutions in order to solve problems of architecture s of software.

Course content

Introduction to Design Architectural
- Notion of architecture
- Architectural modeling of a software
- Architecture Styles Software

Models and Frameworks Architectural
- Types of Frameworks
- Oriented Architectures Components
- Architectures driven by Models
- Oriented Architectures Services
- Oriented Architectures Aspects

Design patterns design)
- Types of bosses
- Description and formalism
- GoF Design Patterns: Creation, Structure and Behavior

Teaching methods and learning

Front-end teaching with examples to solve in
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Software Engineering – UML – Development Methods software
Object Oriented Programming (Java or .Net)

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download relating to the elements of
The following bibliographic recommendations should be considered :
- Jacques Printz Preface by Yves Caseau, “Software Architecture: Designing simple, secure and adaptable applications”, Dunod, Paris, 2006 ISBN:
- BASS, , p. CLEMENT And R. KAZMAN, » Software Architecture in practice », 3 rd editing,

Reading (Mass.), Addison Wesley Longman, Inc., 2013.

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes

Upon successful completion of this subject, students should:

Understand the architecture, create it and move from one to another, different structural models.
Analyze the architecture and build the system from the Components.
Design creation and structure templates.
Learn about role models.
Do a case study on the use of architectural structures .

.Net Development (C#) GINF4204

Code : GINF4204 .Net Development (C#)

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

The main objective of this C# development course is to learn the concepts well oriented

object s and data access with Entiy Framework :

Learn to handle Visual Studio, the developer’s work tool VS#.
Practice object-oriented concepts (inheritance, encapsulation, polymorphism, …).
Create programs of different types (Console, Desktop, Web, …).
Working with delegates and
Access data with Entity
Learn to use the concept of multithreading

Course content

Introduction to programming VS#
.Net Framework (CLR, CLS, BCL, CIL, …)
Data Types (CLS)
Control structures: decision, repetition and recursion
Miscellaneous points: tables, procedures, functions, parameter passing, …
Exception handling: .catch

Oriented Programming Object
Classes, Objects, Values, and References: Structures and Allocation of memory
Encapsulation: access modifiers and properties
Inheritance: abstract/sealed and Cast classes between guys
Polymorphism: virtual/abstract, override, virtual and new
Presentation of interfaces
Extension methods and indexers
Delegates and Events
Delegates: basic principle, generic delegates (Action, Func and Predicate)
Lambda Expression, Anonymous Method, and Method local
Events: Publisher (publisher) and Subscriber (subscribe)
Introducing Desktop Apps and website
Windows Forms/WPF Applications: Design and Event Model and MDI
Windows Services: Creating a Service Windows
Development of ASP.NET applications: event model, life cycle of an ASP page, …
IIS Web Hosting: IIS Services and Application Deployment website
Development of Web services: SOAP, WSDL, Services website
Access to data with EntityFramework
Collections: List, Stack, Queue, Dictionary, …
ORM – Entity Framework: Database first, Entity Data Model, DbContext and Code first
LINQ – Language Integrated Query: Queries and Methods Linq
Threads in .Net
The concept of multithreading
Passing parameters to Thread
Threads with Windows Forms

Teaching methods and learning

Front-end teaching with examples to solve in
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Algorithms and Data Structures + Programming VS
Oriented Programming Object
Basics of data

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Microsoft Official Academic Course, “Software Development Fundamentals,” John Wiley, 2012
- Tiberiu Covaci, Gerry O’Brien, Rod Stephens and Vince Varallo, « MCSD Certification Toolkit (Exam 70-483) », Wrox, 2013, ISBN:
- Jérome HUGON, “C# 6, Develop Windows applications with VS 2015”, Edition ENI, 2015, ISBN: 978-2-7460-9700-1.

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes

At the end of this course, the student will be able to:

develop professional web applications and web services capable of processing and manipulating data.
Package and deploy ASP.NET MVC 5 web applications from a development environment to a web server for staging or production.
Develop and test professional ASP.NET applications that access and modify data from a relational database such as SQL Server using SQL data sources and/or object data sources and controls. appropriate web server.
Design the architecture and implementation of a web application that will meet a set of functional requirements, user interface requirements and business models.

Native mobile development 1 (Android) GINF4205

Code : GINF4205 Native Mobile Development 1 (Android)

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

Learn native development android
Deepen knowledge in Java

Course content

Introduction to android
- Historical from android
- Structure of a project android
- Densities of screens
- android manifest
Management activities
- Navigation between activities
- Passing data between activities
- Battery management activities
Management fragments
Layouts and components management graphics
ListView (Learn the notion of ViewHolder)
Multithreading
- Thread & Handler
- AsyncTask
Multithreading
HTTP Client and Parsing json
Database SQLite
- Management native
- Management with a ORM
Location & use of GPS
Google maps
Mini-project

Teaching methods and learning

Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Java
XML

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download

Modality devaluation

100% Practical work (mini-project with oral presentation, lab exam, report)

Learning outcomes

At the end of this course, the student will be able to:

Identify the important differences between mobile app development for iOS and Android.
Identify important differences between native, web, and hybrid apps.
Design and develop Android applications to meet specific needs.
Explain how event-driven applications use threads to perform time-consuming operations.
Show their peers how to implement Android functionality.

Communicating embedded systems EMB4201

Coded

: EMB4201

Communicating embedded systems

Learning objectives and skills aimed

Highlighting the specifications of embedded systems and associated technologies with an interest in communication applications. Thus this course deals with the following four aspects. The methodology: HW/SW co-design, scheduling and partitioning rules. Programming: embedded languages and operating systems. Hardware implementation architectures: processor architectures and instructions, FPGA architectures. Communication protocols: field networks, TCP/IP stacks, WSN, Continua, etc.

Content :

Concepts of embedded systems: Definition, history and applications, characteristics of embedded systems, technologies of embedded systems, requirements for communication applications
Target architecture technologies: Classes of embedded architectures, classification of processors, memory addressing hierarchy, digital integrated circuit technologies, VHDL hardware description language
Co-design rules: Interest and methodology for co-design, co-design techniques, development tools and techniques.
Embedded programming and real-time scheduling: Embedded programming methodology, partitioning and planning methods, real-time scheduling, embedded programming techniques – Embedded operating systems: Definition of a real-time operating system, real-time scheduler, objects of a real-time kernel, services of a real-time kernel, characteristics of a real-time kernel, classification of real-time operating systems for embedded devices
Hardware Security: Classification of hardware attacks. Principle and techniques for carrying out DPA attacks. Countermeasures against hardware attacks: securing at the system level, at the architecture level, at the logic level, at the circuit level. Study of secure solutions 6. Networks and communication protocols for embedded devices: classification of embedded network architectures (M2M, WSN, etc.), TCP/IP stack, Ethernet, USB, Zigbee, Continua

Teaching methods and learning

¨ Frontal teaching (masterful) with examples to be solved in commmon.

¨ Theoretical exercises and case studies (presentation and discussion).

Learning outcomes

At the end of this course, the student will be able to:

Define embedded systems and identify applications to real word systems
Use the hardware, software and peripherals involved in an embedded system
Understand the basic functionality of microprocessors and microcontrollers using registers and memory and hardware/software interface concepts
Explain the main capabilities of microcontrollers and their applications for the development of embedded systems
Explore the features and functionality of your STMicrocontroller

Hybrid Mobile Development GINF4106

Code : GINF4106 Development Mobile Hybrid

Volume Time : 3 a.m. Practical work (by week)

Learning objectives and skills aimed

The student must be able to :

Define a mobile environment hybrid
Know the Framework installation steps Ionic
Know the architecture of the Framework Ionic
Know how to manipulate the navigation, and the exchange of data between the interfaces Ionic
Know how to manipulate dynamic data via an API external
Know how to build a mobile application via Ionic

Course content

Facility :
- Install nodeJs
- Install npm
- Install ionic
- Create a project Ionic
Architecture :
- Pages: Controller + Seen
- THE services
Navigation:
- Navigation direct
- Navigation via NavController service
The forms :
- FormBuilder and FormGroup
- Integration of the form in the view HTML
- Submit and retrieve
ElasticSearch :
- Presentation ES
- Simulation of the different CRUD queries on post man
Services :
- Creation of services
- Injection of services
- Calling webservices via services(Elastic Search)
- Call service methods in asynchronous
Build Application Ionic :
- Cordova
- Build creation APK
- Build installation on an Android simulator Studio

Teaching methods and learning

Practical work (laboratory)

Knowledge and skills prerequisites

Oriented programming object
HTML+ CSS
VMC

References bibliographic

Teacher support will be
Other references in the form of tutorials, manuals or documents to download

Modality devaluation

100% Practical work (mini-project + interview individual)

Learning outcomes

At the end of this course, the student will be able to:

Know how a hybrid mobile application works
Get familiar with Cordova and see how it fits into hybrid mobile app development
Work seamlessly with Ionic CSS components and Ionic-Angular JavaScript components such as directives and services
Learn how to theme Ionic apps and customize components using Ionic SCSS support
Develop an application that creates a client for a secure REST API using Ionic and AngularJS
Develop a real-time chat app using Firebase that uses ngCordova
Generate a device-specific installer for an Ionic app using the Ionic CLI as well as Ionic cloud services

Java EE GINF4203

Code : GINF4203 Java EE Programming

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

At the end of this module, the student will be able to design and create a web application using the Standard development platform Java Enterprise Edition (Java EE).

This course allows students to have an overview of the architecture of a Java EE application but also a clear understanding of the technologies involved in each level of such a
During this course the student will be called upon to :
- Implement the business logic of the application through the specification
- Achieve application data persistence using specification
- Develop THE interfaces users in to serving of there power of framework

Course content

Presentation of Java EE (definition, architecture, specifications, servers applications And

containers, CDI)

Web Components :
- HTTP Servlet (definition, syntax and implementation, request and response objects, session sharing contexts and application)
- JSP pages (definition, scriptlet, redirection of query)
- Data access according to MVC using JDBC
Expressions Language EL and the library JSTL
- Contributions of EL
- The Core library of JSTL
Java Bean Enterprises: (EJB3)
- Business logic of a application
- Types of components
- The EJB container: (presentation and services rendered)
- Stateless EJB, Statefull EJB, EJB singleton
- EJB clients (local and distant)
The persistence of data in Java
- Overview, Benefits, Persistence Providers, and annotations
- Entities, Object Relational Mapping (ORM)
- The Entity Manager and Context persistence
- The EJBs and persistence
JavaServer Faces
- Presentation of the Framework based on the components
- Facelets, the graphical components of views
- Validation and Conversion, Managed Beans, Ajax and JSF
- Custom components

Teaching methods and learning

x Frontal teaching (masterful) with examples to be solved in commmon.

x Practical work (laboratory)

x Work to be done at home (mini-project, presentation, report , …)

Knowledge and skills prerequisites

Object Oriented Programming (Java)
Development website

References bibliographic

A handout (Course Notes) from the teacher will be
Antonio Goncalves, “Java EE6 and GlassFish 3”, Pearson, 2010. 554p. ISBN: 978-2744024238.
Antonio Goncalves, “Beginning Java EE 7”, APress, 2013. ISBN: 978-1430246268.
The Java EE 6 Tutorial ( http://docs.oracle.com/javaee/6/tutorial/doc/javaeetutorial6.pdf).
François-Xavier Sennesal, “JSF 2 with Eclipse Development of web applications with Java Server Faces”, ENI, 2014. 341p. ISBN: 978-2746091146.
Other references in the form of tutorials, manuals or documents to download

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes

At the end of this course, the student will be able to:

Master the basic concepts of the Java language
Master the advanced concepts of the Java language
Develop desktop applications with Java

Agile and Hybrid Methodologies GINF4202

Code : GINF4202 Agile and Hybrid Methodologies

Volume Schedule : 1h30 integrated lessons (per week)

Learning objectives and skills aimed

Understand the general issues of a project computer science.
Study the different traditional methodologies for managing projects
Study and understand the differences between the Methodologies
Master the principles
Mastering group work in the context of a project Scrum
Know how to apply Scrum rules in the context of a project real
Know how to create the product backlog and sprint
Know how to participate in the different Meetings Scrum
Master different agile roles: Product Owner, Scrum Master, the team Dev
Know how to make Brundown chart
Learn to use the agile Microsoft Team Foundation Server tool 2018

Course content

Definition of a project
Project management issues computers…
Methodologies traditional
Methodologies agile
In-depth analysis of IT project management methodologies with a focus on agile methods :
- Product Owner
- Scrum Master
- The Team Dev
- TimeBox
- SPRINT PLANNING MEETING
- DAILY MEETING
- SPRINT REVIEW
- THE RETROSPECTIVE OF SPRINT

In-depth analysis of project management methodologies IT
brundown chart
Microsoft team foundation server 2018

Teaching methods and learning

Presentations of course notes, Discussion, Questions answers
Works practice
Learning by problem (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Genius Software

References bibliographic

https://www.scrum-institute.org/ _
Reference of the World Organization for Standardization according to the ISO 10006 standard (2003 version)
https:/ /www.agilist.fr/

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcomes

At the end of this course, the student will be able to:

First, learn about empirical process control models and defined process control models, their differences, and the advantages and disadvantages of each.
Next, knowing how to effectively manage uncertainty in a project is probably the most important factor in choosing the right approach.
Analyze popular Agile frameworks, including Scrum, SAFe, and Kanban, and identify opportunities for Agile ways of working
Recommend common tools for Agile project and product management
Plan an Agile project using an appropriate Agile framework
Analyze change management strategies used to implement Agile

Data warehouse & Business Intelligence GINF5L07

Coded

: GINF5L07

Data warehouse & Business Intelligence

Volume Schedule : 1h30 integrated lessons & 1h30 practical work (by week)

Learning objectives and skills aimed

Analyze application limits decision-making
Study the architecture of warehouses
Understand the concepts of the model multidimensional
Query a model multidimensional
Know the basic concepts of mining data

Course content

Introduction
- motivations
- Process of decision
- Glossary of base
Architecture of warehouses
- Architecture general
- Extract-Transform-Load ETL system ( extractor-loader)
- Feeding of the warehouse
- server presentation
- “OnLine Analytical Processing” OLAP servers: MOLAP & HOLAP
Model multidimensional
- Data in a warehouse
- Approaches to modelization
- Facts & Dimensions
- Architecture in bus decision-making
Querying Cubes OLAP
- Star pattern; multi-star; in flakes
- Creation of tables & insertion of data in T SQL
- Basic operators (tracing, extraction, rotation, drilling)
- Language MDX
Basic principles of mining data

Teaching methods and learning

x Frontal teaching (masterful) with examples to be solved in commmon.

x Practical work (laboratory)

x Work to be done at home (mini-project, presentation, report , …)

Knowledge and skills prerequisites

Basics of
DBMS & Database Administration

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download relating to the elements of
- Cuneyt Yilmaz, “Oracle Business Intelligence 11g R1 Cookbook”, Packt Publishing, 2013,

ISBN: 978-1-84968-600-6, Pages: 364, http://it-ebooks.info/book/3018/

Reza Rad, “Microsoft SQL Server 2014 Business Intelligence Development”, Packt

Publishing, 2014, ISBN: 978-1-849-68888-8, Pages: 350, http://it-ebooks.info/book/3624/

Dan Clark, “Beginning Power BI with Excel 2013”, Apress, 2014, ISBN: 978-1-4302-6445-3, Pages: 324, http://it-ebooks.info/book/4324/
Kimball, Ralph, Margy Ross, “The Data Warehouse Toolkit: The Definitive Guide to

Dimensional Modeling ”, 3rd edition, Wiley, 2013.

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes

At the end of this course, the student will be able to:

Analyze characteristics and plan the data warehouse (dimensions, facts, hierarchies, rollups)
Illustrate trends towards warehousing, and data mining.
Critically use all data transformation processes.
Estimate hardware infrastructure needs.
Compare data warehouse modeling alternatives.
Design and implement a data warehouse.

Advanced .Net Development (ASP MVC) GINF5L02

Code : GINF5L02 Advanced .Net Development (ASP MVC)

Volume Time : 3h Practical work (by week)

Learning objectives and skills aimed

The main objective of this “advanced .Net” course is to learn a professional approach to designing and building Web applications by making the most of ASP.NET MVC with C# under the Visual Studio development environment. :

Discover Visual Studio and its tools (the interface of the development software, the toolbox, the exploration windows, and the use of the debugger).
Understand how ASP.NET applications work with the IIS web server.
Discover THE fundamentals of there programming event For THE website (cycle of life

an ASPX page, Web controls, user input validation, …)

Learn to use the Model-View-Controller « MVC » software architecture pattern (operation, organization and development).
Access databases with ADO.NET (LINQ, Entity Framework, data caches, …)
Explore server authentication and authorization modes NET.
Study SOA service-oriented architecture and know the underlying techniques (WCF APIs and REST).
Know the essential elements for putting ASP.NET applications into production (structure of configuration files, deployment tools, …).

Course content

Chapter 1: Visual Studio and .Net framework
What’s New in Visual Studio
C# in Brief
Chapter 2: Websites NET
The model of compilation
The role of the server website
The http pipeline and IIS
The Webs Forms
Chapter 3: Websites VMC
The MVC approach
NET websites VMC
MVC and Razor sites for equipment mobiles
Chapter 4: Accessing Data with NET
The basics from ADO.NET
Access to data based on suppliers
The graphical components for presenting the data
Create reports with Reporting Services
Chapter 5: Managing the state
The different ways to maintain the state (hidden fields, ViewState, Cookies, …)
THE sessions
Application objects and Hidden
Chapter 6: Personalization and Securing
Site security NET
Presentation personalized
Chapter 7: Configuration, deployment and administration
Configuration
Application deployment NET

Teaching methods and learning

Front-end teaching with examples to solve in
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Object Oriented Programming with VS#

Databases and SQL
Web development (HTML, CSS, …)

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- Brice Arnaud GUERIN, “ASP.NET 4.5 with C# under Visual Studio 2012”, Editions ENI, January 2013, ISBN: 978-2-7460-7830-7.
- Adam Freeman, « Pro ASP.NET MVC 5 », APress, 2013, ISBN: 978-1-4302-6529-0.
- Official Microsoft Learning Product, “Developing ASP.NET MVC 4 Web Applications,” 2013 Microsoft Corporation, Product Number:

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcomes

After completing this course, students will be able to:

Describe the Microsoft Web Technologies stack and select an appropriate technology to use to develop a given application.
Design the architecture and implementation of a web application that will meet a set of functional requirements, user interface requirements and business models.
Create MVC models and write code that implements business logic in model methods, properties, and events.
Add controllers to an MVC application to manage user interaction, update models, select and return views.
Create views in an MVC application that display and modify data and interact with models and controllers.
Run unit tests and debugging tools on a web application in Visual Studio 2012 and configure an application for troubleshooting.
Develop a web application that uses the ASP.NET routing engine to present user-friendly URLs and a logical navigation hierarchy to users.
Implement a consistent look and feel, including corporate branding, across an entire MVC web application.
Use partial page updates and caching to reduce the network bandwidth used by an application and speed up responses to user requests.
Write JavaScript code that runs on the client side and uses the jQuery scripting library to optimize the responsiveness of an MVC web application.
Implement a complete membership system in an MVC 4 web application.
Build an MVC application that resists malicious attacks and retains user information and preferences.
Describe how to write a Windows Azure web service and call it from an MVC application.
Describe what a Web API is and why developers can add a Web API to an application.
Change how browser requests are handled by an MVC application.
Describe how to package and deploy an ASP.NET MVC 4 web application from a development computer to a web server for staging or production.

ERP-CRM GINF5L04

ERP = Enterprise Resource Planning in French Integrated Management Software (PGI)

CRM = Customer Relationship Management in French Customer Relationship Management ( RCMP )


Coded	: GINF5L04	*ERP* = Enterprise Resource Planning
		*Customer Relationship Management*

Volume Time : 1h30 Practical work (by week)

Learning objectives and skills aimed

This course aims to provide the student with knowledge related to the implementation of management software integrated.

The course deals with the roles and challenges of integrated systems in a project management context and will allow the student to assess the technological needs of a company during the implementation and configuration of systems. integrated.

Understand what an ERP and/or CRM is, and what challenges they meet to the company.
Learn through concrete cases in the ERP and/or CRM integration project in a company with all its technical and organizational constraints.

Course content

Business and business computing – the importance of WHETHER
Definition and role of a ERP/CRM.
Methodology and criteria for
Presentation of the different modules of a ERP
Operation and process of integration.
Configure a mini case in an open ERP
Administration and concepts advances

Works practice

TP1: Installation and configuration of an open source ERP: Dolibarr or
Practical work 2: initialization of the database (Third Parties, Products, etc.) and manipulation of the ERP.
TP3: Launch of orders, invoices and
TP4: Discovery of Dynamics functionalities
TP5: Initialization of accounts, contacts, prospects…
TP6: Workflows and processes of business.
TP7: Administration and

Teaching methods and learning

Practical work (laboratory)

Knowledge and skills prerequisites

Knowledge of systems management

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download relating to software

Modality devaluation

100% Practical work (practical exam, report, …)

Learning outcomes

After completing this course, students will be able to:

Discuss supply chain and resource management.
Identify the scope and benefits of ERP-CRM
Demonstration of the integrated data model

Big Data GINF5L08

Code : GINF5L08 BigData

Hours : 1h30 Integrated lessons & 1h30 Practical work (per week)

Learning objectives and skills aimed

Raising awareness of issues related to the very large-scale distribution of data and treatments
Familiarity with highly distributed platforms and environments ( Hadoop / Hortonworks/Spark)
Mastery of data partitioning techniques (sharding) and high availablity

(synchronous replication vs asynchronous replication, election algorithms, etc.)

Mastery of treatment distribution techniques (Map/Reduce, Spark)

Course content

Chapter 1. – Introduction general
- (a) BigData, quesaco ?
- (b) Distributed File Systems vs. Distributed comics (NoSQL)
- (c) Batch processing vs. flow of treatments
Chapter 2. – Batch processing distributed
- (a) Apache Hadoop (HDFS): a file system distributed
- (b) Concepts of HDFS: POSIX commands, NameNode, DataNodes, JournalNodes
- (c) Sharding and replication
- (c) The Paradigm Map/Reduce
- (d) YARN (ResourceManager, NodeManagers, )
- (e) High Level Languages: Pig/Hive

Chapter 3. – Distributed processing flows: Apache Spark
- (a) Limits of Map/Reduce
- (b) Graph of treatments
- (c) Clusters Spark
- (d) RDD, DataSet and DataFrame
- (e) Stream processing with Spark Streaming
- (f) Spark MLIB
- (g) Connectors Hadoop/Hive
Chapter 4. – Coordination in distributed systems: case study with Zookeeper and solr
- (a) Architecture of a cluster Zookeeper
- (b) Election Algorithms (PAXOS/RAFT)
- (c) SolRCoud Distribution and Cluster with ZooKeeper
Chapter 5. –DB NoSQL: case study with MongoDB
- (To) Sharding
- (b) Replication
- (c) Transactions and Queries distributed

Teaching methods and learning

¨ Frontal teaching with examples to solve in commmon.

¨ Practical work (laboratory)

¨ Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

File management systems, relational databases, Linux, functional programming, Java, structured documents (XML/JSON), REST web services, containers Docker

References bibliographic

Lecture notes (Beamer presentations) and worksheets TP
Documentation, Tutorials and Sandbox hortonworks: https://fr.hortonworks.com/tutorials/
Spark Documentation, Tutorials, and Sandbox: http://spark.apache.org/docs/latest/

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcome:

At the end of this course, the learner will be able to:

Perform big data collection from a range of data sources.
Critically analyze existing Big Data datasets and implementations, considering practicality and utility measures.
Understand and demonstrate the role of statistics in the analysis of large data sets
Select and apply appropriate statistical measures and analysis techniques for data of varying structure and content and present summary statistics
Understand and demonstrate advanced knowledge of statistical data analysis applied to large data sets
Use advanced statistical analytical skills to test hypotheses and generate and present new information and insights from large data sets

Information systems security GINF5L05

Code : GINF5L05 Information systems security

Volume Schedule : 1h30 integrated lessons and 1h30 practical work (per week)

Learning objectives and skills aimed

Master the basic concepts of security,
Test the mechanisms to be put in place to ensure the security of the systems of information

and means of communication computers.

Course content

Basic security concepts
Security attacks: Tests of
The mechanisms of Crypto-systems
- encryption symmetrical
- encryption asymmetric
- encryption Hybrid
- Tests with OpenSSL
Key management infrastructures (PKI).
Models and systems
Security practices
- THE Firewalls
- THE IDS
- THE vpn

Teaching methods and learning

Presentations of course notes, Discussion, Questions answers
Works practice
Learning by problem (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Operating Systems and the Basics Networks

References bibliographic

Hossein Bidgoli, editor. Handbook of Information Security, 3-Volume Set. Wiley, December 2005.

William Stallings. Cryptography and Network Security: Principles and Practice. Prentice Hall, third edition,

Paul C. van Oorschot Alfred J. Menezes and Scott A. Vanstone. Handbook of Applied Cryptography. CRC-Press, August 2001. Available online at: http://www.cacr.math.uwaterloo.ca/hac/

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review half-yearly

Learning outcome:

A candidate who has completed their qualification must have the following learning outcomes defined in terms of general knowledge, skills and competencies:

General skills

Upon successful completion of the MIS program, students possess the following general knowledge, skills and competencies:

Awareness

The candidate is able to demonstrate advanced knowledge in the field of cybersecurity and information security in general and in the following specific subjects: computer and network security, security management, incident response, computer forensics and digital, biometrics, privacy and critical infrastructure security. The candidate possesses particular insight and may demonstrate expertise in information security technologies, digital forensics or security management, depending on the program chosen.
The candidate can demonstrate an advanced knowledge of the current state of the art in the field of cybersecurity and information security.
The candidate can demonstrate the ability to apply their knowledge in new areas of cybersecurity and information security, in particular cloud computing security, Internet of Things (IoT) security and data security. applications of blockchain technology.
The candidate can demonstrate a thorough knowledge of the scientific methodology necessary to plan and conduct research in the field of cybersecurity and information security under supervision.

SKILLS

The candidate can demonstrate the ability to systematically and independently solve complex research and development problems in the field of cybersecurity and information security by analyzing, formulating sub-tasks and proposing innovative solutions.
The candidate can demonstrate the ability to express critical attitudes regarding the limits of existing knowledge in the field of cybersecurity and information security and the ability to consult other experts in the field in order to solve complex problems of research and development.
The candidate can demonstrate the ability to effectively and successfully manage research and development projects of moderate size and complexity (e.g. master’s thesis) in the field of cybersecurity and information security.
The candidate can demonstrate the ability to independently select the appropriate technologies needed to solve practical cybersecurity and information security problems related to confidentiality (cryptographic solutions), integrity (authentication such as biometrics), availability (e.g. intrusion detection solutions) and privacy protection. .
The candidate can demonstrate the ability to work effectively in a team, to collaborate with other specialists in the field of cybersecurity and information security and to take initiative in the resolution of complex technical problems.

General competence

The candidate can make well-structured presentations for specialists and for the general public.
The candidate can write well-structured and clear technical reports and scientific articles.
The candidate is able to clearly disseminate knowledge gained through research to the general public using a variety of public information channels.
The candidate is able to understand scientific literature in English.
The candidate can demonstrate the ability to assess the technological, ethical and societal aspects of their own work and take responsibility for ensuring that this work has a positive influence on the sustainable development of society.
The candidate can perform their work in a way that shows non-experts how the company should deal with security risks and challenges.
The candidate can communicate with other experts in the field and demonstrate their ability to establish an international network of experts.

Technology Watch Internet Of Things GINF5L09

Coded

: GINF5L09

Internet Of Things Technology Watch

Volume Schedule : 0.75 Integrated lessons & 1h30 Practical work (by week)

Learning objectives and skills aimed

Master the basic concepts of object systems connected
Master the « Android Things » operating system and its installation on cards

« Raspberry PI 3 »

Implement an application allowing the management of digital sensors and actuators
Implement a connected object application allowing sending and receiving data via a CLOUD platform
Master the control of sensors and actuators through a platform CLOUD

Course content

Basics of the Internet Of Things (IOT) « )
- Principles & domains of application
- Goals
- Material infrastructure & software
- Architectures
- Systems operating
Local management of objects
- « AndroidThings »
- The “RaspBerry PI 3” cards »

Management GPIOs

Connection material
activation of pines
event programming & listeners
- Management buttons
- sensor management synchronous
sensor Temperature/Humidity/Voltage
display alpha-numeric
CLOUD platform for systems IoT
- Objective
- Space configuration FireBase
- Liaison between the FireBase space and the « Android Things » project »
- Writing data in space FireBase
- Event-driven programming for the reading of data

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Programming mobile
Programming event

References bibliographic

Thibault CH OLEZ, “ Mobile Applications and Internet of Things Program of the module, TELECOM Nancy – Universit´e de Lorraine, 2015-2016.
Yassine HADDAB, “IoT – IoT”, University of Montpellier, 2017-2018

Modality devaluation

100% Practical work (mini-project with oral presentation, practical exam, report, …)

Learning outcome:

At the end of the course, you should be able to:

explain the definition and usage of the term « Internet of Things » in different contexts
understand the key components that make up an IoT system
differentiate the levels of the IoT stack and become familiar with the key technologies and protocols used at each layer of the stack
apply the knowledge and skills acquired during the course to build and test a complete and working IoT system involving prototyping, programming and data analysis
understand where the IoT concept fits into the broader ICT industry and possible future trends
appreciate the role of big data, cloud computing and data analytics in a typical IoT system

Internet of things Tel31007

Coded

Tel31007

Internet of things

Prerequisites

Basic notions of network and Telecommunications

educational goals

This course is an entry level introduction to the concept of Internet of Things, its applications and the associated constraints for their implementation. It will first give an introduction to the system architecture and applications. Then it provides students with the knowledge of communication technologies allowing data exchanges. Finally, it provides basics of machine learning algorithms to handle the large amount of data related to IoT.
It will allow us to get knowledge about classical communication networks (Bluetooth, ZigBee, wifi direct) and on the Long Range communications principles dedicated to Internet of things (LoRa, Sigfox, NBIoT).

Targeted skills

Built an electronic system embedded smart sensors/actionor

To make the link with the 2nd year digital communications courses and 3rd year radiocommunications courses integrating the concepts of signal to noise ratio, signal to interference ratio.

To build applications monitoring connected objects on service platforms

To do simple processing on data at the output of the different sensors and implementing decision rules.

Key words

Telecommunications technology
Telecommunications
Networks and telecommunications

Content

Introduction to IoT

definitions and terminology,

apps,

architectures and infrastructures of an IoT system.

Technical communications for sensors networks

principles and techniques,

architecture,

antennas and propagation.

Long Range Technical Communications

principles and techniques,

architecture,

antennas and propagation.

Security and confidentiality in IoT

Challenges and basic principles

Algorithms and dedicated protocols

Introduction to machine learning techniques for data processing

Classification,

Regression,

Localization in IoT context

motivations

Localization algorithms

Assessment modality

Exam and practical works (project forms)

Learning Outcomes:

At the end of the course, the student should be able to:

– explain the definition and use of the term « Internet of Things » in different contexts

– understand the key components that make up an IoT system

– differentiate the levels of the IoT stack and become familiar with the key technologies and protocols used at each layer of the stack

– apply the knowledge and skills acquired during the course to build and test a complete and working IoT system involving prototyping, programming and data analysis

– understand where the IoT concept fits into the broader ICT industry and possible future trends

– appreciate the role of big data, cloud computing and data analytics in a typical IoT system

Introduction to DevOps GEN5001

Coded

GEN5001

Introduction to DevOps GEN5001

Summary

DevOps is the result of applying Lean principles to the IT value stream to accelerate workflow through product management, development, testing, deployment, IT operations, and information security. This approach breaks down the boundaries between teams and brings all stakeholders together to work on the same goal of rapidly delivering enterprise IT solutions with stability, reliability, availability, and security.

educational goals

This course aims to provide students with:

The ability to appreciate the principles of DevOps and their application to the development and deployment of enterprise systems
The ability to explain and discuss stakeholder roles and tools within DevOps
Skills to set up a DevOps project environment
The practical skills to use DevOps tools to automate integration, testing and deployment
An understanding of the importance of collaboration and automation in implementing cross-functional processes

Content

What is DevOps?
Explore the DevOps journey
Identify transformation teams
Explore shared goals
Set timelines for goals
How to plan DevOps.
Use source control.
Scale Git for business.
Combine artifacts.
Design a dependency management strategy.
Manage secrets.
Implement continuous integration.
Implement a container creation strategy.
Design a publishing strategy.
Configure a release management workflow.
Implement a deployment model.
Optimize feedback mechanisms .

Bibliography:

Assessment modality

Exam and practical work

Learning outcomes

At the end of this course, you will be able to:

Understand what DevOps is and the steps to accomplish it
Identify teams to implement the process
Plan the transformation with shared goals and timelines
Plan and set timelines for goals
Explain the process, steps, roles and importance of the DevOps methodology
Manage a project using an agile methodology supported by DevOps tools
Build a CI/CD pipeline using DevOps tools
Apply change management best practices
Develop and automate functional testing, load/performance testing and regression testing
Collaborate more effectively with other stakeholders

SOA and cloud GINF5L06

SOA = Service-Oriented Architecture , in French Oriented Architecture Services

	SOA and cloud
Coded	: GINF5L06	*SOA* = Service Oriented Architecture

Hours : 0h75 Integrated lessons & 1h30 Practical work (per week)

Learning objectives and skills aimed

Understand architectural styles and in particular oriented architecture
Understand SW technology architecture and technologies
Model complex applications using SW technology and formalize with software development and deployment platforms and tools
Development of applications using the language BPEL
Understand the main concepts related to the cloud model

Course content

Chapter 1: Software Architecture: Styles architectural
- The architectures N-tiers
- Middleware: RPC, RMI, MOM, JavaSpace, CORBA, …
- Positioning of Services website
Chapter 2: SOA (a session)
- Introduction and Approach SOA
- Technology associated
Chapter 3: Web Services (4 sessions)
- type web services SOAP
Associated technologies (XML, SOAP, WSDL, UDDI)
Bottom-up approaches and Approach descending
- type web service REST
Chapter 4: Business Processes (4 sessions)
- BPMN
- BPEL
Chapter 5: Cloud Computing (3 sessions)
- Intro and Motivation :
Definition and features
cloud computing and SOA
Service models clouds
- aaS: SaaS, IaaS, PaaS and Business Process as a Service (BPaaS)
- Study of some platforms: OpenStack, Google App Engine, Microsoft Azure, etc

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Java, .NET, Android and XML

References bibliographic

A handout (Course Notes) from the teacher will be
The following bibliographic recommendations should be considered :
- Jean-Marie Chauvet, « Web Services with SOAP, WSDL, UDDI, ebXML… », 2002
- Sanjiva Weerawarana, Francisco Curbera, Frank Leymann, Tony Storey, Donald F. Ferguson, “Web Services Platform Architecture”, 2005
- Web services course, http://www-inf.int-evry.fr/cours/WebServices, University of Paris –
- Benny Mathew, Matjaz Juric, Poornachandra « Business Process Execution Language for WS », Packt Publishing, January 2006 – 372 pages – ISBN: 1904811817

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of the course, you should be able to:

Acquire knowledge on SERVICE ORIENTED ARCHITECTURE
Understand the need for SOA and its systematic evolution.
Apply SOA technologies to the business domain.
Design and analyze various SOA models and techniques.
Compare and evaluate best SOA strategies and practices.

Preparation for the IoT Developer Specialty GINF5L07 certification

Coded

: GINF5L07

Preparation for the IoT Developer Specialty certification

Hours : 0h75 Integrated lessons & 1h30 Practical work (per week)

Description of the IoT Developer course

This training is delivered under the conditions defined by Microsoft: in partnership with an approved Microsoft Learning training center, Microsoft certified trainer, official Microsoft lab, official Microsoft course material.

This Azure IoT Developer course provides students with the skills and knowledge needed to successfully build and maintain the cloud and edge portions of an Azure IoT solution.

This course features comprehensive coverage of essential Azure IoT services such as IoT Hub, Device Positioning Services, Azure Stream Analytics, Time Series Insignts and more.

In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security issues, Azure Digital Twins, and Azure IoT Central.

Learning objectives and skills aimed

Know how to maintain the cloud and edge parts of an Azure IoT solution and pass the Microsoft Azure IoT Developer certification exam.

Course content

Introduction to Internet of Things and Azure IoT Services

Business opportunities for IoT
Introduction to IoT solution architecture
IoT hardware and cloud services

Devices and device communication

IoT Hub and Devices
IoT development tools
Device configuration and communication

Large scale device provisioning

Device Provisioning Service Terms and Concepts
Configure and manage the Device Provisioning Service
Device provisioning tasks

Message processing and analysis

Messages and message processing
Data storage options
Azure Stream Analytics

Insights and business integration

Business integration for IoT solutions
Data Visualization with Time Series Insights
Data visualization with Power BI

Azure IoT Edge deployment process

Introduction to Azure IoT Edge
Edge deployment process
Edge gateway devices

Azure IoT Edge modules and containers

Develop Custom Edge Modules
Offline and local storage

Device management

Introduction to IoT device management
Manage IoT and IoT Edge devices
Device management at scale

Solution testing, diagnostics, and logging

Monitoring and logging
Repair

Azure Security Center and IoT security considerations

Security basics for IoT solutions
Overview of Azure Security Center for IoT
Improve protection with Azure Security Center for IoT agents

Create an IoT solution with IoT Central

Introduction to IoT Central
Create and manage device templates
Manage devices in Azure IoT Central

Teaching and learning methods

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Have experience in software development
Know the general concepts of the Cloud and the different services offered
Java, Python .NET, Android and XML

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographical recommendations .

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of the course, you should be able to:

Create, configure, and manage an Azure IoT hub
Provision devices using IoT hub and DPS, including large-scale provisioning
Establish secure two-way communication between devices and IoT hub
Implement message processing using IoT hub routing and Azure Stream Analytics
Configure connection to Time Series Insights and support business integration requirements
Implement IoT Edge scenarios using market modules and various edge gateway models
Implement IoT Edge scenarios that require the development and deployment of custom modules and containers
Implement device management using twin devices and direct methods
Implement solution monitoring, logging, and diagnostic testing
Identify and resolve security issues and implement Azure Security Center for IoT
Build an IoT solution using Azure IoT Central and recognize SaaS opportunities for IoT

Cloud Computing Security GINF5L08

Coded

: GINF5L08

Cloud Computing Security

Hours : 0h75 Integrated lessons & 1h30 Practical work (per week)

Description of the training

Summary of cloud security and new uses of technologies

Learning objectives and skills aimed

This seminar offers a clear synthesis of the different ways to ensure Cloud security.
A complete training during which alternate phases of theoretical contributions, exchanges, sharing of experiences and simulations.

Content

1 – Introduction

Reminder of the hardware and software elements of the Cloud architecture according to the standardization bodies NIST (National Institute of Standards and Technology)
Complexity of the context of use anywhere with any type of connection terminals

2 – Detect the points of vulnerability of the Cloud

Cloud solutions and architectures offered by major players in the sector (OS Cloud, virtualization, storage, Datacenter, networks, etc.)
Cloud Datacenter Access Endpoint Vulnerabilities
Security issues specific to open and interconnected clouds
Four levels of security (technological, organizational, contractual and design of technical architectures)

3 – Take inspiration from the recommendations of official organizations CSA (Cloud Security Alliance) and ENISA (European Network and Information Security Agency) to secure the Cloud and manage risks

Protection of remote access to the Cloud and Datacenter (multifunction firewall)
Security of online transactions by cryptology (PKI)
Access authentication: NAC, RBAC, captive portal, strong authentication
IAM (Identity and Access Management)
Anomalous Activity Monitoring (IDS/IPS, NIDS/NIPS)
SIEM (Security Information and Event Management)
Fight against data theft (DLP: Data Lost Prevention)
35 types of risks according to ENISA
Treatment of the 5 major and frequent risks based on ENISA recommendations

4 – Rely on technical Cloud security solutions, offered by Cloud manufacturers and operators

Summary of security approaches, hardware and software adopted by cloud providers
Security solutions offered by public cloud operators
Internalization of private devices in the Cloud Datacenter
Intermediate security cloud (SecaaS: Security as a Service)
Advantages and disadvantages of each solution

5 – Securing the Cloud by organizing processes and the SLA contract

Classification of cloud-eligible applications
Risk assessment and implementation of their management
Disaster recovery
Choice between sovereign and open clouds
Define security SLA criteria
Corporate responsibility: access terminals and local and remote networks
Shared responsibilities of stakeholders (client company and its cloud service provider) in the event of security-related issues

6 – Securing the Cloud by designing architectures

Isolation and sealing of the solutions involved (Virtualization, Storage, orchestration, API, connectors, etc.) and applications
Combination of means of protection, depending on the necessary level of security of the elements of the Cloud
hybrid cloud
Encryption of the transmission at the level of the local networks of the Datacenter
Local firewall in the cloud
Secure local and remote access to the Cloud from anywhere for mobile devices: SSL VPN, IPSec VPN and IEEE802.11i
Out-band security and identity firewall devices for local mobile access
Impact of inconsistent security solutions and critical quality metrics
Engineering of IP traffic and data flows for the proper functioning of applications

7 – Secure the use of employees’ personal devices to access the Cloud (BYOD: Bring Your Own Device)

Choice of secure terminal hosting solutions (VDI, TS-WEB, RDP, PCoIP, etc.)
Selection of devices: tablets, smartphones, OS, browsers… and their constraints
Study of vulnerabilities to set the rules for using access to the Cloud
Allocation of rights according to technical and organizational criteria

Teaching and learning methods

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Have experience in software development
Know the general concepts of the Cloud and the different services offered
Java, Python .NET, Android and XML

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographical recommendations .

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of the course, you should be able to:

Understand how to rely on norms and standards repositories to secure the Cloud
Know the generic means of cloud security
Be able to draw inspiration from the solutions and approaches of Cloud operators to secure your approach
Understand how to avoid costly and time-consuming security implementation that can degrade overall network performance

Software Defined Networking (SDN) & Network Functions Virtualization (NFV) GINF5L09

Coded

: GINF5L08

Software Defined Networking (SDN) & Network Functions Virtualization (NFV) GINF5L09

Hourly Volume: 0h75 Integrated courses & 1h30 Practical work (per week)

Course contents

Software Defined Networking (SDN) and Network Functions Virtualization (NFV) are at the core of the dramatic transformation of today’s networks.

SDN makes it possible to quickly deploy exciting and highly relevant new protocols, without requiring extensive hardware changes. Additionally, SDN makes it possible to implement complex functionality in the SDN controllers, thus reducing the cost of the network elements (ie, switches and routers).

The introduction of SDN is expected to enable the Internet to scale to higher and higher data rates, while existing approaches to realizing higher data rates leads to excessive costs and power consumption.

NFV aims to decrease the costs for network operators.

NFV utilizes open source software running on commodity, off-the-shelf hardware rather than highly specialized, vertically integrated solutions produced by a small number of vendors.

The combination of SDN and NFV makes it possible to quickly deploy new services for large numbers of users in both wired and wireless networks.

Teaching and learning methods

Frontal teaching (masterful) with examples to solve together.
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, etc.)

Bibliographic references

A handout (Notes of the course) of the teacher will be available with bibliographical recommendations.

Assessment method

40% Continuous monitoring (graded practical work, test, attendance, supervised duty, non-presential work, etc.)
60% Semester examination.

learning outcomes

The aim of the course is to give the students a deep understanding of two important, emerging network technologies: Software Defined Networking (SDN) and Network Functions Virtualization (NFV).

After having accomplished the course the student should be able to:

describe the key benefits of SDN, in particular those benefits brought about by the separation of data and control planes
describe the SDN data plane
explain in detail the operation of the SDN control plane
configure an SDN-friendly network emulator
program a sample SDN for a given task
explain network virtualization
describe techniques used for verification and debugging of SDNs
describe Network Functions Virtualization components and how they work together
describe the role and functionality of middleboxes in networks and how they are managed
configure an example service using SDN and NFV
describe techniques to enable applications to control the underlying network using SDN
give examples of and describe current research problems within SDN and NFV

Native Mobile Development 2 (iOS) GINF5L03

Code : GINF5L03 Native Mobile Development 2 (iOS)

Volume Time : 3 a.m. Practical work (by week)

Learning objectives and skills aimed

The student must be able to :

Use the IDE xCode
Develop an algorithm in swift using xCode playground
Know the architecture of an xCode project of an application iOS
Know the life cycle of an iOS application (AppDelegate.swift)
Know the life cycle of an Interface (UIViewController.swift)
Develop a graphical interface with the Interface-Builder
Implement the UINavigationController
Use the Framework CoreData
Consuming APIs REST
Use the MapKit

Content

Getting started with Swift with Playground :
- Declaration of variables
- Declaration of constants
- The collections : Array/Dictionary
- Conditional structures: if/switch
- The loops: for/while
- Declaration of classes
Creating a Hello app World
- Creation of a .xcodeproj
- See the different file types: .swift/.plist/.storyboard
- See the life cycle of an application and a interface

UIKit/Interface builder
- Creating an interface via the Interface builder
- Link between swift code and Interface Builder: IBAction/IBOutlet
- Development of an interface login

Navigation
- Integration of a UINavigationController
- Navigation between two viewControllers
- Customization of navigationBar
- Passing variables between two viewControllers

UITableView
- Creation of a UITableView
- Implementation of the UITableViewDataSource protocol with the cell by default
- Protocol implementation UITableViewDelegate
- Creating a custom cell using a xib

CoreData
- Creation of a .xcdatamodel
- Creation of an entity User
- Make an interface for the creation of a User
- Display the list of users in a UITableView
- Editing/Deleting a to use
- Creating a Contact entity and making a relationship between the two entity
- Display the list of Contacts of a User

API consumption REST
- Creating a class that implements the protocol Decodable
- WS invocation using URL Session
- JSON parsing with JSONDecoder
- Test app: NearRestoApp
MapKit
- Integration MapKit
- Add a Marker in a map
- Integration of the map in the NearRestoApp application

Teaching methods and learning

Practical work (laboratory)

Knowledge and skills prerequisites

Oriented programming object
JAVA / Android SDKs
VMC

References bibliographic

, Introduction to iOS: dive into mobile development !, https://openclassrooms.com/fr/courses/4206426-introduction-a-ios-dive-into-mobile-development

Modality devaluation

100% Practical work (Exam PT)

Learning outcome:

At the end of the course, you should be able to:

Describe the feasibility and technical challenges of building iOS applications using UIKit and related technologies;
Analyze mobile interface guidelines and technical constraints to design effective navigation and user interfaces for mobile applications;
Apply common object-oriented design patterns such as Model-View-Controller and Delegation;
Follow iOS best practices for designing, building, and testing non-trivial iOS applications with a web service component .

Advanced User Interfaces GINF5L01

Coded

: GINF5L01

Advanced User Interfaces

Volume Time : 1:30 a.m. Practical work (by week)

Learning objectives and skills aimed

Learn the meaning of analysis: Identify and reformulate the problem of a project
Identify the needs of the user and his behavior (Observations, mythologies, field of activity, etc.) and formalize the results in the form of a map of
Know how to create empathy maps and scenarios of use.
Getting used to brainstorming and knowing how to make ideation maps and schematic representations of the interfaces.
Know how to develop experience maps of the user
Know how to model and prototype
Master the prototyping tool Adobe XD 2018 and Balsamiq
Learn how to evaluate the final work: UX scale, logbook, etc

Course content

Definition and context of UX Design
The interest of UX Design
Defining Psychology cognitive
Analysis of each step of the design process of advanced user interfaces :
- Planning
- Exploration
- Ideation
- Generation /Design
- Assessment
Simulation of UX projects by group and application of all the process of

Teaching methods and learning

Presentations of the workshops, Discussion, Questions answers
Practical work: lead UX Design projects as a team (simulation of a work real)
Problem-based learning (mini-project)

Knowledge and skills prerequisites

User Interface (UI)
Methodology of
HTML and CSS

References bibliographic

Carine Lallemand , Guillaume Gronier , 2018, UX design methods: 30 fundamental methods for designing optimal experiences, Edition EYROLLES
Jean-François Nogier , Jules Leclerc , 2016, UX Design and ergonomics of interfaces – 6th

Modality devaluation

40% Continuous Control (Mini Project, Attendance)
60% Review half-yearly

Learning outcome:

At the end of the course, you should be able to:

Build navigation that allows users to easily accomplish tasks.
Configure forms with targeted inputs.
Determine what data to display to meet user needs.
Contextualize search, sort and filter patterns.
Create obvious contextual interactions.
Produce software application prototypes using industry standard design tools.
Apply a user-centered design process (developing a design strategy that provides solutions to meet business and user goals) in creating basic to complex software applications.
Design and develop responsive layouts for multi-device and multi-channel apps.
Collaboration/teamwork.
Presentation skills.

Administration of Linux LPIC-1 systems GINF42R02

Coded

: GINF42R02

Administration of certification systems LPIC-1

Volume Time : 01:30 Integrated lessons + 03:00 Practical work (by week)

Learning objectives and skills aimed

The main objective of this course is to master Linux system administration operations And

to prepare for the LPI-101 and LPI-102 certification exams LPIC-1.

Course content

Part 1: LPI 101

Architecture system
- Determining and configuring the parameters of the material
- Start of system
- Changing runlevels and stopping or restarting the system
Linux installation and management packages
- Schema design partitioning
- Installing a manager priming
- Library management shared
- Using the package manager Debian
- Using RPM Package Managers and YUM
GNU commands and Unix
- Online work of order
- Processing of text-type streams with filters
- Basic management of files
- Working with Streams, Tubes, and redirects
- Creation, control and interruption of process
- Changing the priorities of process
- Search in text files with expressions rational
- Editing text files with VII

Disks, Linux filesystems, standard file tree (HSF)
- Creation of partitions and systems of files
- Maintenance of the integrity of the systems of files
- Assembly and disassembly of the systems files
- Quota management disk
- Management of permissions and ownership on files
- Creation and modification of physical and symbolic links on files
- Finding Files and Placing Files at Locations adequate

Part 2: LPI 102

Shells, scripts and management data
- Customization and use of the environment of the shell
- Customization or scripting simple
- Data management SQL
Interfaces and offices user
- Installation and configuration of X11
- Configuring a display manager (Display Manager)
- Accessibility
Tasks administration
- Management of user accounts and groups as well as system files concerned
- Automate administration tasks by scheduling works
- Regional settings and LANGUAGES
System services essentials
- Clock management system
- Newspapers systems
- Mail Transfer Agent Basics (MTA)
- Managing printers and the impression
Basics of networks
- Protocol Basics Internet
- Network setup elementary
- Solving network problems simple
- Configuring the resolution of nouns
Security
- Administration tasks security
- Configuring the security of the system
- Securing data with the encryption

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Systems operating

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- LPIC-1: Linux Professional Institute Certification Study Guide Exams 101 and 102 by Roderick W. Smith

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of the course, you should be able to:

Demonstrate the ability to analyze the needs of a system or database administration project and identify, install and configure the appropriate hardware and/or software to implement the project
Identify methods to assess the validity and usefulness of digital content
Know the main server administration tasks: user management (creation and deletion of users), software management (installation, configuration, version maintenance), resource management (monitoring, CPU, memory, swap and disk ), file system maintenance (backups)
Planning and installing an operating system (booting, basic configuration, disk partitioning, etc.)
Control some basic aspects of network administration. Network interface configuration, subnet and routing policies.

Networks & Telecommunications Material Sheets

Networking Fundamentals GINF3107

Summary :

This course contains fundamental basics of computer networks. This course allows you to understand the operation of a network, its components, the interconnection between equipment, and protocols. We begin by studying the concept of network and we detail the elements that make it up. We take a tour of its components, terminology and network topologies. Then, we approach the notion of protocol, and more precisely, of TCP/IP protocol.

Coded

GINF3107

Networking Fundamentals

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Learning objectives and skills aimed

Become familiar with the vocabulary of networks,
Understand the basic concepts used in
Become familiar with the protocols of networks

Course content

Terminology of networks
- Communicating in a Networked World Communication :
- Architecture of internet
- Trends in networks
OSI models and TCP/IP.
- The platform for LAN, WAN and internetwork communications
- Protocols
- Use of models in layers
- Addressing of networks
Layers functionality and protocols applications
- the interface between networks
- Use of applications and services
- Examples of layer services and protocols application
transport layer OSI
- Layer Roles transportation
- TCP protocol: reliable communications Session management TCP
- UDP protocol: communications with little overload
Network layer OSI
- IPv4 Networks: division of hosts into groups
- Routing: mode for processing packets of data
- Routing process: learning mode of roads
Network addressing IPv4
- Addresses IPv4
- Award of addresses
- What are the elements present on my network ?
- Calculation of addresses
- Diaper test network
Link layer of data
- Data link layer: access to brackets
- Access control techniques support
- Media Access Control Addressing and Data frame
- setting convenient
physical layer OSI
- Physical layer: signals from communication
- Physical signaling and coding: representation of bits
- Physical medium: connection of communication
ethernet
- Presentation Ethernet
- Ethernet: communication via the local network (LAN)
- weft ethernet
- Media Access Control ethernet
- physical layer ethernet
- concentrators and switches
- Address Resolution Protocol (ARP) Protocol)
Planning and cabling of networks
- Networks premises
- Connection establishment physical
- Interconnections of peripheral devices
- Development of a diagram addressing
- Calculation of subnets
- Interconnections of peripheral devices
Configuring and testing your network
- Device Configuration Cisco
- IOS Fundamentals Basic Configuration Application with Cisco iOS
- Verification of connectivity
- Network monitoring and creation of a documentation

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

 Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

None

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download relating to the elements of
The following bibliographic recommendations should be considered :
- TiberiuCovaci, Gerry O’Brien, Rod Stephens and Vince Varallo, « MCSD Certification Toolkit (Exam 70-483) », Wrox, 2013, ISBN:
- Pierre ROLIN, Gilbert MARTINEAU, Laurent TOUTAIN, Alain LEROY, “Networks, fundamental principles « .
- Guy PUJOLLE, “Networks « .
- Dominique PRESENT & Stéphane LOHIER, “Transmissions and networks « .
- Rolin, “Broadband networks « .
- MAIMAN, “Corporate networks « .
- Danièle DROMARD & Dominique SERET &Fetah OUZZANI, “Computer networks « .

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly
DS Rating = 40% Control Continued
Practical work, Test, Attendance, Non-presential work, Mini-projects, … = 60% Control Continued

Learning outcomes:

Recognize computer networks.
List computer network topologies.
Explain each computer network topology physically or logically.
List of equipment required to build the computer network.
Explain the mission of each computer network.
Recognize the essential protocols of computer networks.
Explain the principles of OSI operation.
Explain the operating principles of the DHCP protocol.
Explain the operating principles of the DNS protocol.
Explain the operating principles of the ARP protocol.
Set up a computer network.
Design a computer network as needed.
Identify the hardware needed to build a designed computer network.
Identify the software needed to build a designed computer network.
Configure computer hardware.
Configure computer software.
Manage a computer network.
Use a network operating system.
Use network trapping tools
Compose a network user
Define a new group in the network.
Set permissions for network users and groups.
Evaluate network-related system records.

Fields and waves I ECE 3 01

Summary :

Fundamentals of electromagnetic fields and waves and their applications in engineering: static electric and magnetic fields; Energy storage; Maxwell’s equations for time-varying fields; free space wave solutions, dielectrics and conductive media, transmission line systems; time and frequency domain analysis of transmission line circuits and applications of Smith charts .

Coded

GINF3107

Networking Fundamentals

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Thematic prerequisites

The basics of vector calculus form MATH
Basics of electric and magnetic fields
Linear circuit and system analysis tools

Learning objectives and skills aimed

Become familiar with the vocabulary of networks,
Understand the basic concepts used in
Become familiar with the protocols of networks

Course content

Description

Elementary theory of electromagnetic fields as summarized in Maxwell’s equations for time-varying fields in integral and differential form, energy storage, and quasistatic fields; and wave time domain analysis.

Topics

Static and quasi-static electric fields
Polarization, conduction, capacitance
Static and quasi-static magnetic fields
Induction and inductance
Dynamic fields and Maxwell’s equations
Wave solutions of Maxwell’s equations in free space and homogeneous medium
Time and frequency domain analysis of waves in transmission line circuits and Smith diagram

Detailed description and overview

Static and quasi-static electric fields, polarization, conduction, capacitance
Static and quasi-static magnetic fields, induction and inductance
Dynamical fields and Maxwell’s equations, wave solutions in free space and homogeneous medium
Time and frequency domain analysis of waves in transmission line circuits and Smith diagram

educational goals

Use Lorentz’s force equation to calculate the electric and magnetic fields in a region for a specified set of forces on moving charges, use Coulomb’s or Gauss’s laws to calculate the electric field due to a charge distribution, apply the same principles in reverse to design a charge distribution that produces a specified electric field.
Calculate the electric potential of static electric fields without loops using the Poisson or Laplace equations, understand the concept of localized circuit voltage in terms of potential differences of quasi-static fields surrounding components of compact circuits.
Associate the winding of a field with its circulation, understand Maxwell’s boundary condition equations and use them to calculate static electric fields and displacement from specified surface charge distributions.

Calculate static bias field and displacement in conductor-bounded dielectric media, understand Drude-Lorentz models for conductivity and susceptibility, calculate capacitance and conductance in slab, cylindrical, and spherical geometries.
Calculate static magnetic fields due to simple current distributions and understand them as manifestations of electrostatic fields seen from frames of reference in constant relative motion.
Calculate the circulation and loop of magnetic fields and relate them to bound currents and local current densities using Ampère’s law, calculate the magnetic fields of infinite current sheets and solenoids, understand the vector potential and its use for static magnetic field calculations under the Coulomb gauge.

Understand induction and Faraday’s law, calculate induced emf from related magnetic flux variations, calculate inductance for solenoids and cylindrical geometries.
Express the conservation of charge in terms of the continuity equation and understand the need for a « displacement current » term in Ampere’s Law.
Obtain the TEM wave equation from the complete set of Maxwell’s equations, calculate its d’Alembert wave solutions in free space, relate the solutions to radiation from time-varying current sheets.

Calculate stored energy and transported power densities of TEM waves in the context of Poynting’s theorem, and express monochromatic plane wave solutions using phasors and Maxwell’s equations in the frequency domain.
Calculate the attenuation of TEM plane waves in lossy media.
Analyze plane wave polarizations (emphasis on linear and circular polarizations and laterality), design current foil antennas to generate waves with desired polarizations.
Calculate the reflection and transmission coefficients of plane waves at normal incidence and relate them to radiation pressure and surface resistance.
Derive Telegrapher’s equations for guided TEM waves expressed in terms of distributed voltage and current variables and distributed capacitance, inductance, and conductance parameters.
Calculate time domain solutions of transmission lines terminated with resistive loads using the bounce diagram technique.

Calculate resonant frequencies of open and shorted transmission line stubs, analyze/design filter circuits, including stubs .
Analyze quarter and half wave transformers and design transmission line circuits containing such transformers.
Calculate load and line impedances, generalized reflection coefficients, and VSWR in lossless transmission line circuits using Smith charts as needed ( 1 )
Design quarter-wave and stub tuners to match arbitrary loads to transmission line circuits.
Understand sources of losses in transmission line circuits and calculate propagation and attenuation constants on lossy lines.

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

Knowledge and skills prerequisites

None

References bibliographic

A handout (Course Notes) from the teacher will be
NN Rao, Fundamentals of Electromagnetism for Electrical and Computer Engineering, Prentice-Hall, 2009.

Modality devaluation

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly

Learning outcomes:

The student should know:

Fundamentals of EM Magnetic fields and waves and their engineering applications.

ECE 302 antennas

Summary :

Antenna settings; polarization of electromagnetic waves; basic antenna types; antenna arrays; broadband antenna design; antenna measurements.

Coded

ECE 302

Antennas

Volume Timetable : 1h:30 Integrated lessons + 1h:30 Practical work (by week)

Thematic prerequisites

Transmission line theory
Electromagnetic field theory
wave propagation
Maxwell’s equations
Poynting Vector

Description

Antenna settings; polarization of electromagnetic waves; basic antenna types; antenna arrays; broadband antenna design; and antenna measurements .

Goals

The purpose of this course is to provide electrical engineering students with a basic understanding of antenna theory and knowledge of the characteristics and design of various types of antennas.

Course objectives

The objectives of this course are (a) to develop students’ analytical and intuitive understanding of antenna physics, and (b) to introduce students to a wide variety of antenna structures of practical interest related to recent developments in communications wireless and radar systems. The course concludes with an antenna system design project where students leverage their knowledge of antennas to specify and synthesize a practical antenna communication system.

Insight

The purpose of this course is to provide electrical engineering students with a basic understanding of antenna theory and knowledge of the characteristics and design of various types of antennas.

Topics:

Antenna parameters: directional gain, power gain; effective area, effective length; input impedance, radiation resistance; antenna temperature
Polarization: polarization diagrams; representation of polarization and the Poincaré sphere; transmission between antennas with elliptical polarization
Basic antenna types: wire antennas; aperture antennas; reflector antennas; traveling wave antennas (dielectric rod antennas)
Antenna arrays: array theory; scanning antennas
Broadband antenna design: spiral antennas; log-periodic antennas
Antenna measurements

Teaching methods and learning

 Frontal teaching (masterful) with examples to be solved in commmon.

 Theoretical exercises and case studies (presentation and discussion).

 Practical work (laboratory)

References bibliographic

A handout (Course Notes) from the teacher will be

Assessment modality

40% Continuous assessment (Supervised homework + graded practical work, Test, Attendance, Non-presential work, …)
60% Review half-yearly

Detailed educational objectives

Demonstrate an understanding of the concepts of time-dependent and time-harmonic three-dimensional vector fields in Cartesian and spherical systems, and perform conversions from one system to another.
Demonstrate an understanding of source-field relationships and understand how to calculate the field due to arbitrary electrical source distributions.
To be able to quantify the fields radiated by Hertzian dipoles and small loop antennas.
Understand and apply the concept of duality between dipoles and loop antennas.
Demonstrate an understanding of the concepts of antenna impedance, efficiency, pattern, directivity, gain, side lobe level, front-to-back ratio, effective isotropically radiated power, and polarization, and be able to calculate the fields and the power radiated by an antenna and to characterize its state of polarization taking into account the parameters above.
Understand and apply the concepts of reciprocity and effective antenna aperture, and calculate the power received by an antenna according to the properties of the antenna and the characteristics of the illumination field (field intensity, polarization, direction incidence).
Be able to calculate an antenna link budget, ie calculate the power received according to the characteristics of the transmitting and receiving antennas and their relative orientation with respect to each other.
Demonstrate an understanding of the concepts of antenna noise, S/N ratio (signal to noise) and G/T ratio (gain over antenna temperature), and calculate these merit values as a function of the illuminating field l receiving antenna and its environment.
Understand and apply the above concepts to design and analyze antenna measurement systems.
Understand and apply the concept of antenna array factor and calculate array factors of arbitrary array configurations.
Be able to design linear cophasic arrays with a minimum number of elements with a given main beam direction and half-power beamwidth or beamwidth between leading zeros .
Understand and apply the concept of shape multiplication, using it to calculate matrix factors of non-uniformly excited linear matrices (eg, a binomial matrix) and two-dimensional matrices.
Demonstrate an understanding of the effects of mutual coupling in networks and possible methods of dealing with this coupling.
Extend the concepts inherent in one-dimensional arrays to multi-dimensional arrays.
Understand and apply the concept of phased array scanning in one-dimensional and multi-dimensional arrays.
Be able to quantify the fields radiated by resonant antennas such as dipoles of arbitrary length, folded dipoles, loop antennas, slot and line sources.
Understand and exploit in designs the effect of the presence of a perfectly conducting ground plane on the fields radiated by arbitrarily oriented wire antennas, and calculate these fields as well as the input impedance of the vertical monopoles.
Demonstrate an understanding of the effects of imperfect ground planes on antenna performance.
Understand the operating principles and basic properties of microstrip antennas and be able to size a simple microstrip antenna given the desired resonant frequency.
Demonstrate an understanding of Huygens’ principle and its relation to the radiation of simple apertures.
Calculate and compare the gain and other radiation characteristics of single apertures.
Design and analyze simple horn antennas.
Design and analyze simple reflector antennas, including planar reflectors, corner reflectors and parabolic reflectors.
Design and analyze log-periodic antennas composed of linear dipole antennas.
Understand the physical origins of frequency-independent antenna characteristics.
Understand the physical origins of ultra-wideband antenna characteristics.
Identify the characteristics of broadband antennas that make them more or less suitable for transmitting high frequency pulses.
Write clear and organized documentation for the design of an antenna system that explains design trade-offs and justifies design choices.

Learning outcomes:

The student should know:

Fundamentals of EM Magnetic fields and waves and their engineering applications.

students’ analytical and intuitive understanding of antenna physics, and antenna structures of practical interest related to recent developments in wireless communications and radar systems.

Network Technology RES3206

Coded

: RES3206

Network Technology

Volume Schedule : 1h:30 Integrated lessons + 1h:30 practical work (by week)

Learning objectives and skills aimed

Understand the basic concepts used in
Become familiar with the protocols of networks
Know the main technologies of Networks

Course content

Terminology of networks
Networks NGN
Networks without son
Networks Wireless
High-speed networks debit
Networks PLC
Sensor networks without son

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Basis of Networks

References bibliographic

A handout (course notes) from the teacher will be
Andrew TANENBAUM, “Networks « .
Pierre ROLIN, Gilbert MARTINEAU, Laurent TOUTAIN, Alain LEROY, “Networks, fundamental principles « .

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

After completing the course, students should be able to:

Discuss the physical and logical characteristics as well as the electrical characteristics of the

basic signals and data transmission methods.

Explain the field of computer networks in terms of connectivity, mobility and

role of metrics, with an emphasis on the range of communication protocols used.

Discuss design principles for wired and wireless communication networks.
Model and analyze structural performance for some commonly used network architectures.
Understand LAN and WAN functions and architectures, analyze and design LAN architecture and

design and deployment requirements.

Understand the functions and architectures of NGN networks, broadband, wireless sensor networks ( ZigBee , IRDA, Bluetooth, UWB and IOT)
Analyze the electrical interface and the basics of digital data transmission.
Link different concepts of network performance and traffic issues for Quality of Service (QoS) in broadband communication as well as the link between the above concepts with business network economics.
Gain the ability to design reliable wireless networks and learn how to model and analyze structural performance for some commonly used in enterprise network architectures.
Explain fundamental principles and physical, data link and network technologies

layers.

LAN and Internet protocols Res31001

Summary:

This unit presents the fundamental concepts of the various Internet and LAN protocols developed for computer networks.

Coded

Res31001

LAN and Internet protocols

educational goals

The objective is to introduce the architecture of networks with a fairly marked vision of the Internet and its components. The architecture of operator networks is also on the agenda. At the end of the course, the listener must understand and master all the problems and solutions involved in the routing of information from one end of the Internet to the other, including via a network operator. .

Targeted skills

Detailed understanding of information transport through the Internet and associated architecture issues. The auditor will be able to help draft specifications for network project management.

The auditor will be able to tackle all types of problems in the administration of networks of machines and servers.

Understanding the functions provided by a router in the overall operation of the Internet will allow the listener to assess the influence of routing solutions on business applications, including Quality of Service (QoS) management. ).

Specify and negotiate a subscription for Internet access with an operator/access provider.

Choose interconnection equipment to develop an enterprise network architecture.

Key words

Distributed Programming
Internet
Intranet
ethernet
TCP/IP protocol
Communication protocol
Client-Server Architecture
heterogeneous network
LAN
Routing
computer network
Machine-to-machine communication
Network Architecture
telecommunications network
Telecommunications

Program:

Content

The course deepens the principles and main protocols of the Internet architecture sometimes called TCP/IP: data link layer (in particular Ethernet switching), network (IP), operator and distribution networks.
Topics covered:
Theory of data communication: bandwidth, Shannon’s theory, error detecting codes.

Ethernet, Ethernet coupler and its functions, Physical interfaces and their virtualization, Ethernet switching, data center topologies. Virtual Local Area Networks (VLANs). VXLAN.
Communication and naming: IPv4 and IPv6 addressing, Structure of network layer headers and services for both implementations, Crossing routers to go from a source point to a destination, NAT/PAT, DHCP. STUN and its successors, ARP. IP addressing plan.
Protocols for Quality of Service (QoS), IntServ, DiffServ, Introduction to Traffic Engineering Problems, VoIP
Routing and tunneling. Multicast IP, OSPF.
Switching models, introduction to MPLS. vpn. Interconnection of corporate networks.
Operator networks. Operator offers. Operator network architectures. Peering and transit networks. MAN, WAN, GAN topologies.
Knowledge: Telecom protocols and standards, IP protocols, Radio frequency technologies, Digital technologies, Analog technologies, Fiber optic technology, Multiplexing techniques, Modeling and simulation software, Signal processing (basics). Network architecture, Telecommunication networks, Service platform architectures, Fixed telephony network architectures, Mobile telephony network architectures, Computer and telecommunications networks, Internet, Multi-service network architectures.

Assessment modality

There are 2 exam sessions: a normal session and a resit session. The final evaluation of the normal session contains a continuous assessment part in the form of a project to be submitted and a 2 hour exam. Students who pass the remedial session take a 3 hour exam.

Bibliography

Pujolle, gives a good overview of network architecture with a perspective in relation to emerging technologies. : « Networks: Edition 2018-2020. The era of cloud networks and 5G ». Eyrolle. 9th edition. July 2018, in French.
Revised by Kevin Fall. Originally written by Dr. W. Richard Stevens. Addison-Weslay. 2012, in English, is certainly the book that has the most intersection with the course. Also contains comments on protocol attacks. : « TCP/IP Illustrated, Volume 1, The Protocols ». Second Edition.
Tanenbaum, DJ Wetherall. interesting, in the spirit of the course, supplements the book of G. Pujolle.précis o: « Computer Networks ». Fifth Edition. Pearson New International Edition. 2013, in English
Kurose, K. Ross. adopts an approach that follows the stacking of communication layers but presenting the top layers first and gradually descending the stack of the ISO-OSI model. Original approach suitable for designers of applications that will use networks. : « Computer Networking: A Top-Down Approach ». 6th Edition. Pearson. 2013, in English
Bonaventure, interesting too. free on the Internet. https://inl.info.ucl.ac.be/cnp3: « Computer Networking: Principles, Protocols and Practice ». Release 0.25. February 25, 2014, in French

Learning outcomes:

Upon successful completion of this course, students will be able to:

Be able to describe and calculate the effectiveness of common flow control and error control techniques, including sliding window, selective repeat, and rollback-N
Understand the advantages and disadvantages of parity, checksums and CRCs as error detection techniques
Understand how Ethernet and 802.3 work in detail (including 802.2 LLC) and how it developed from earlier multi-access schemes
Be able to describe the function of bridges and routers and how they work, including the spanning tree algorithm and common routing protocols
To be able to explain the functions of IPv4, IPv6, ICMP, TCP and UDP, DNS, DHCP, ARP and NAT and how they work together on the Internet .

Protocol engineering GINF4R0

Code : GINF4R0 Protocol engineering

Course content

Chapter 1: General information on protocols
- Development cycle of protocols
- Verification and Validation of protocols
Chapter 2: Models to states
- states and transition
- State machine models finished
Chapter 3: Petri nets and logic temporal
- Modeling of protocols
- Petri Nets colorful
Chapter 4: Model Analysis (Model checking)
- Models Buchi
- Analyzer SPINS
Chapter 5: Principles of testing protocols
- Theory of Test
- Languages and architectures of test
Chapter 6: Towards Open Distributed Processing Protocols Processing)
- Architecture ODP
- engineering model ODP

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

The foundations of networks
The principles of the protocols of basics

References bibliographic

A handout (Course Notes) from the teacher will be
Gerard J. Holzmann, Design and Validation of Computer Protocol, Prentice Hall, New Jersey, 1991, ISBN 0-13-539925-4.

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcome:

At the end of the course, the student should:

Be aware of issues related to the field of protocols telecommunication
Be able to master the development process of these protocols using formal specification and confirmation .

Signal processing for telecommunications Tel31001

Summary:

The purpose of this unit is to provide a thorough understanding of signal processing techniques used in communication systems.

Coded

Tel31001

Signal processing for telecommunications

Public, access conditions and prerequisites

Students must have strong basis in both signal processing and telecommunications

Educational goals

This course presents the effects of a propagation channel with multi-paths on a link performance. Then it introduces diversity receivers (in time, frequency, space). SIMO, MISO and MIMO systems are then presented with their implementations and performance. Finally equalization of frequency selective propagation channels is analyzed.

Targeted skills

Skills about propagation channels characterization, diversity receivers, SIMO and MIMO systems and channel equalization will be developed.

Key words

Signal processing
Digital transmission
Receiver
Mobile telephony
Radio communications
Signal processing
Telecommunications

Schedule:

Thrilled

– Synthesis of basics in telecommunications
– Propagation channels characterization and modeling- Flat fading concept and receivers with time, frequency and space diversity at reception- MIMO systems (spatio-temporal coding, spatial multiplexing)- Channel equalization for frequency selective channels

Assessment modality

Students must have obtained at least 10/20

Bibliography

Tse, P. Viswanath: “Fundamentals of wireless Communications”, UK Cambridge University Press, 2005

JG PROAKIS, : « Digital Communications », Mc Graw Hill Series in Electrical and Computer Engineering, 4th Edition, 2001.

learning outcomes

After successful completion of this course, students will:

Understand the place of digital signal processing in communication systems.
Understand channel models used in design and testing of communication systems.
Understand elements of estimation and detection theory relevant to the channel estimation, synchronization, and data detection.
Understand optimal signal processing, including the optimal detection, matching filtering, adaptive filtering, LMS, and applications.
Understand signal processing techniques used for the phase and timing synchronization.
Understand channel estimation and equalization techniques.
Understand diversity systems, including the maximal ratio combining.
Understand multiuser detection.
Understand how the signal processing techniques are used in practical communications systems.

After successful completion of this module, students will:

Be able to apply theoretical knowledge to development of communication systems at the physical layer level.

Broadband technologies Tel31003

Summary :

This course introduces you to the technologies involved in the design and construction of transport networks (wireless, copper and optical) and the application areas in which they are used.

You will study the physical fundamentals of the generation, guided transmission, amplification and reception of light.

You will also examine design considerations and techniques used in radio networks, the principles of digital transmission, and the role of optics and wireless in access and core networks.

Coded

Tel31003

Broadband technologies

Prerequisites

with basic knowledge of information theory and digital communications techniques

educational goals

Acquire knowledge of advanced telecommunications techniques and systems.

Master the fundamental notions relating to the characteristics of transmission channels.

Understand and know how to implement the techniques used in systems with high spectral efficiency.

Key words

ethernet
Error correcting code
Wireless
Optical fiber
Mobile telephony
Telecommunications
Telecommunications technology

Program:

Content

Reminders on baseband and carrier frequency digital communications.

Characteristics of the different transmission channels (wired, radio-mobile). Study of their capacities, studies of theoretical performance, error rate, notion of diversity (temporal, frequency).

Multi-carrier techniques (OFDM) for frequency selective channels. Application to xDSL and mobile radio technologies. power control.

Multi-antenna systems (MIMO systems, associated decoding) and their applications.

Advanced channel coding (concatenated codes and associated decoding algorithms).

Modulation schemes and adaptive coding.

Examples of applications: study of the physical layer of a 4G LTE mobile radio system, Wifi, etc.

Assessment modality

Final examination on table

Bibliography

LE RUYET, D. ROVIRAS: course handout
GOLDSMITH: Wireless communications, Cambridge university Press
TSE, P. VISWANATH: Fundamentals of wireless communication, Cambridge university Press

Learning outcomes:

At the end of this course, the student should be able to:

Describe the elements that make up a broadband link (copper, fiber or wireless) and their basic operation in technical terms
Master the mathematical tools necessary for the basic design of the system
Design and model a simple point-to-point network for all channel types taking into account linear impairments
Fully understand optical receiver topologies, design techniques and system requirements
Calculate the noise and bandwidth behavior of different optical receiver preamplifier designs
Choose an appropriate receiver preamplifier design for a particular application by comparing system and user requirements, design and implementation complexity, performance, and cost
Appreciate the role of optical and wireless links in the construction of communication networks

Optical telecommunications Tel31004

Summary :

Expose students to the basics of signal propagation through optical fibers, fiber deficiencies, components and devices, and system design .

Coded

Tel31004

Optical telecommunications

Prerequisites

Possess the level of basic electronics and electronic components .

Notions in electromagnetism and telecommunications are necessary.

educational goals

Know the optoelectronic and optical components essential for optical communication.

Understand the operating principle of an optical transmission system.

Make an analysis of the different fiber optic telecommunication systems (communication budget, number of users, etc…).

Understanding guided optics (fiber optic media).

Targeted skills

Be able to size an optical transmission system
Calculate the power budget.

Evaluate the signal to noise ratio.

Evaluate the maximum number of users.

Choose 1.3 µm or 1.55 µm communication wavelengths depending on the application.

Know the role of optoelectronic elements in optical transmission systems.
Key words

Fiber optic transmission
Optical fiber
Laser
Light
Optoelectronics
Telecommunications

Content

Notions of guided optics
Guiding light: fiber optics, total reflection, evanescent wave, modes of propagation.

Different types of optical fibers, characteristics, dispersion, attenuation.

Optoelectronic components

Couplers, circulators, filter (Bragg grating), multiplexer, attenuator.

Notions on semiconductors: optical properties, emission, absorption.

Laser diodes: stimulated emission amplification, population inversion, DFB and DBR structures.

Photodetectors: pin photodiodes and avalanche photodiode.

Modulation of light

Direct modulation, frequency response, « large signal » modulation. Intensity and phase noise.

Semiconductor and erbium doped fiber optical amplifiers.

Indirect modulation: Mach-Zehnder and electro-absorption modulator.

Telecommunication systems

High-speed telecommunications, wavelength multiplexing (WDM Wavelength Division Multiplexing and Dense WDM).

The point-to-point link: constitution, modulation of the optical carrier, direct detection, noise, detection sensitivity.

The point-to-multipoint link.

Local access network

Evolution of the Ethernet standard for fiber optics.

Gigabit Ethernet and 10 Gigabit Ethernet network.

Future standards for the local access network.

Assessment modality

First and/or second session exam

Bibliography

Hincelin: Handout of course ELE107

Irène and Michel Joindot: Fiber optic telecommunications, DUNOD

Learning outcomes

Recognize and classify fiber optic structures and types.
Discuss channel impairments such as loss and dispersion.
Analyze various coupling losses.
Classify optical sources and detectors and discuss their principle.
Know the design considerations for fiber optic systems.
Perform fiber optic, source and detector characteristics, design and conduct software and hardware experiments, analyze results to provide valid conclusions.

Telecommunications Networks Tel31000

Summary:

This course provides an introduction to the principles and techniques of designing, implementing and analyzing communication networks that constitute the key technology of modern ICT systems. Topics include: the basics of voice, video, data and Internet communications. network topologies, architecture. switching techniques, network design, basic queuing analysis, protocols. local and wide area networks, wireless cellular networks, TCP/IP/UDP/DHCP protocols, routing techniques, multicast techniques. network security, performance analysis and network simulation.

Coded

Tel31000

Telecommunication networks

Prerequisites

basics in computer architecture and electronics

educational goals

Acquire the fundamentals on telecommunication networks, with a focus on the TCP/IP architecture and access network technologies

Targeted skills

– understanding of principles in network architectures and protocols
– ability to design a local area network

Key words

LAN
Routing
Network administration
Telecommunications
Computer networks

Program:

Content

– Network architecture modeling, OSI layer
– Access network technologies (multiple access protocols, WiFi, 2G to 4G, xDSL, FTTx, xPON)- TCP/IP architecture- application layer: HTTP, DNS- transport layer: UDP, TCP- network layer : IP, addressing, routing-data-link layer : addressing, switching

Assessment modality

Hands-on labs are organized to cover key parts of the teaching unit and evaluated based on lab reports. The final exam is based on exercises covering the whole module.

Bibliography

Olivier Bonaventure: Computer Networking: Principles, Protocols and Practice,

Learning outcomes:

Upon successful completion of the course, students will be able to:

Understand the basic concepts and techniques and some advanced concepts of telecommunications networks.
Develop problem solving approaches as applied in the fields of telecommunications networks.
Able to analyze the performance of basic communication networks using both analysis and simulation techniques.
Understand telecommunication network design techniques and practical implementation issues.
Understand the basic properties of Internet traffic and telecommunications properties.

Signaling and network management Tel31002

Summary :

Signaling (in the network sense) = set of service information necessary for setting up and running a communication on a public network (dial, addressing, line seizure, putting on hold, releasing, etc.).

Coded

Tel31002

Signaling and network management

GOALS

This course introduces students to the fundamentals of modern telecommunications signaling systems (SIP and XMPP and WebRTC and PSTN/Mobile) and the Telecommunications Management Network (TMN) framework. It also presents the network numbering and addressing schemes that underpin the signaling and management of telecommunications services. The Signaling component will address the themes of access and control of calls/sessions of the core network as well as the functions of managing the mobility of people and terminals. The Network Management part will cover the operation of circuit-switched networks and TCP/IP networks, including the Internet.

INDICATIVE CONTENT

The signaling course includes:

Signaling principles, overview of network technologies, basic SIP signaling protocol, basic SDP usage, enhancements to SIP, basic XMPP-based JINGLE signaling protocol, introduction to WebRTC/rtcWeb functionality and signaling, PSTN/ ISDN and traditional mobile, additional signaling services, the interworking of different signaling protocols, different addressing schemes, and the transport of signaling in different network technologies.

The Network Management course includes:

TMN framework for network management: failure, configuration, accounting, performance and security; Current network management on the Internet – SNMP, QoS, Net Neutrality; Ideal performance management objectives – Real-time economic optimization; Emerging NM Opportunities – Management for SDN and IMS.

Prescribed reading:

Gonzalo Camarillo « SIP Debunked » 2002, ISBN: 0071373403 McGraw-Hill;
Henry Sinnreich and Alan B. Johnston, « Internet Communications Using SIP », Wiley;
Peter Saint-André, Kevin Smith and Remko Troncon. « XMPP – The Definitive Guide », O’Reilly;
Travis Russell, « Signalling System 7 » (Telecommunications), 2nd Edition, McGraw Hill, ISBN 0070580324.

Notes :

LEARNING AND TEACHING METHODS

The course is provided through lectures and tutorials.

INDICATIVE KEY LEARNING RESOURCES

Students receive lesson slides, didactic questions and practice solutions, reference lists, and a list of abbreviations.

CAREERS / INDUSTRY LINKAGES

Students are encouraged to interact with industry professionals as part of their assignment. Industry-specific interactions can be arranged based on interests and opportunities.

Assessment

2 network management assignments (team assignment of 2-3 students) to be submitted (approximately 20-25 hours of work per student), worth 50%;
3-hour, formally supervised, written exam at the end of the semester, worth 50% Obstacle Requirement: Students must pass the written exam to pass the subject.

Learning outcomes:

After completing this course, the student is expected to be able to:

Understand the principles of modern telecommunications signaling
Demonstrate how modern telecommunications signaling protocols work in networks to create real-time communication calls/sessions
Demonstrate how addressing is used as an integral part of signaling and how address interworking is achieved
Understand historical lessons, theoretical underpinnings, and likely future trends in network management
Analyze and design metrics that provide insight into customer satisfaction and therefore profitability of telecommunications network services
Understand network planning and management for customer retention and provider profitability
Undertake research on developments in real-time communications
Undertake research in the field of network management

Generic skills

At the end of this subject, students should have developed:

Problem solving and analytical skills;
Critical and creative thinking, with an aptitude for continuous self-directed learning;
Sense of intellectual curiosity;
Ability to interpret data and research results;
Ability to learn in a variety of ways, including through information and communication technologies;
Ability to deal with unknown problems;
Ability to evaluate and synthesize research and professional literature;
Ability to develop practical application models and evaluate their performance through rigorous analytical means.

Wireless Mobile Networks Tel31006

Coded

Tel31006

Wireless Mobile Networks

Prerequisites

Basics in computer networks and communication protocols.

educational goals

The objective of the course is to study mobile and wireless network systems, their architectures and technologies.

Targeted skills

Deep understanding of the architectures of cellular networks, WiFi and VANet

Key words

wireless network
mobile network
Telecommunications
Computer networks

Program:

Content

Challenges in mobile computing.
Media access protocols.Wireless LAN and WAN.3G, 4G and 5G technologiesAd hoc, VANET delay-tolerant and opportunistic networking.Sensor networks.Various cross-cutting themes, including energy, privacy and security.Modeling and simulation of mobile networks.

Assessment modality

Hands-on labs are organized to cover key parts of the teaching unit and evaluated based on lab reports. Presentations will be requested and evaluated. The final exam is based on exercises covering the whole module.

Bibliography

Mohsen AM El-Bendary: Wireless Personal Communications: Simulation and Complexity

Learning Outcomes

Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Possess knowledge and techniques of resource allocation in wireless communications systems
Possess knowledge of flow control, congestion control, error control, etc. in wireless networks
Be aware of some routing algorithms, delay modelling, multiple-access principles, basic queuing theory, etc.
Be aware of the techniques and basic principles of wireless LANs, wireless ad-hoc networks, wireless sensor networks, etc.
Be familiar with the architecture and protocols of typical communications networks
Possesses knowledge of cellular wireless communications systems

Synthesis and numerical functions GINF3109

Coded

GINF3109

Synthesis and numerical functions

Hours : 1h:30 Integrated lessons + 3h:00 Practical work (per week)

Learning objectives and skills aimed

The main objective is to explain how to generate custom circuits by programming.

Make circuit synthesis digital
Circuit programming digital
Learn a programming language circuit
Master the basics of a description language HDL
Use a testing tool simulation
Use a tool synthesis

Course content

Course :

Number systems: signed numbers (Sign-Absolute Value, complement to 1, complement to 2)
Number coding: Grey, BCD, ASCII
Real numbers: fixed point, simplified floating point, standard floating point IEEE
Binary arithmetic operations: half adder, full adder, n-bit addition, subtraction, multiplication, division
Logical summary: resolution by SOPs
PLDs (PAL, PLA): CPLDs + LAG
Logical synthesis: resolution by FG and LUTs
FPGAs: FPGAs from Altera + FPGAs from Xilinx
Logic programming: VHDL
The logical levels and the library IEEE
Notion of variable and signal
Descriptive structure of VHDL file: Entity and architecture + Combinatory system + Notion of process + System sequential
Description functional
Description behavioral
Description structural
File structure of simulation
Some syntaxes of VHDL
State machine: Moore’s model and Mealy’s model + Different descriptions of Moore’s machine + Different descriptions of Moore’s machine Meally
Genericity and construction IP

Works Directed

Binary numeric calculations with the different formats of signed numbers and numbers
Arithmetic and logical operations (+, -, x). (Change the formats of the numbers)
Sequential systems: reminders on shift registers,
Programming of PLD-GAL (combinatorial, sequential)
Programming of combinatorial logic functions in VHDL (with and without process)
Programming of sequential logic functions in VHDL
Programming of digital functions in VHDL (combinatorics and sequential)
State Machine Design, Moore and
Machine applications of state.

Works practice

TP1: Introduction to the modelsim test environment of Mentorgraphic
TP2: Test and simulation of some digital applications of base
TP3: Introduction to the ISE tool for
TP4: Synthesis of some numerical applications of
Practical work 5: Implementation on an FPGA of some examples of functions
TP6: Implementation of a Moore machine on a
TP7: Implementation of a Mealy machine on a
TP8: Introduction to the environment
TP9: Implementation and programming of a microprocessor Soft
TP10: Implementation of a Hard/Soft application (co-design)

Teaching methods and learning

T Exercises theoretical And studies of case (presentation And discussion).

T Practical work (laboratory)

Knowledge and skills prerequisites

System logic
Coding and representation binary

References bibliographic

A handout (Course Notes) from the teacher will be
Olive , R. Airiau , JMBergé , J.Rouillard “VHDL. Language, modeling, synthesis”, 2nd edition, 2011, ISBN: 2880743613.
Weber , S. Moutault « The VHDL language: from language to circuit, from circuit to language », 4th edition, Dunod, ISBN: 2100567020
Douglas Perry, « VHDL: Programming By Example », McGraw-Hill Professional, May 2002, 497 p, ISBN-13: 978-0071400701
Jacques Weber & Maurice Meaudre, « The VHDL Language: Courses And Exercises », Dunod, June 2003, 238 p, ISBN: 9782100047550

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes

After successfully completing this module, the student is able to demonstrate knowledge and understanding of:

Programming circuits digital
Knowledge of a programming language circuit
Master the basics of a description language HDL
Use a testing tool simulation

Preparation for CCNA 1 and 2 GINF4R05

Code : GINF4R05 Preparation for CCNA 1 and 2

Learning objectives and skills aimed

Better understand how a router accesses information from remote networks and how it determines the best path to those
This course covers all static routing and routing protocols …

Course content

Unit1: Presentation of networks
- Connecting to Internet
- Mathematical aspects of networks
Unit2: Basic notions on networks
- Terminology of network
- Strip passer-by
- Models of network
Unit3: Media network
- Media of copper
- Media optical
- Media without thread
Unit4: Test of cables
- Basics for studying the tests of cables
- Signals and noises
Unit 5: Cabling of LAN networks and WANs
- Network cabling LAN
- Network cabling WANs
Unit6: Basic notions on ethernet
- Basics of ethernet
- Functioning Ethernet
Unit7: Technologies ethernet
- 10 Mbps and 100 Mbps Ethernet Mbps
- Gigabit and 10 Gigabit ethernet
Unit8: Switching ethernet
- Switching ethernet
- Collision domains and broadcasting
Unit 9: TCP/IP Protocol Stack and Addressing IPs
- Presentation of the protocol TCP/IP
- Addresses Internet
- Obtaining an address IPs
Unit 10: Basic notions on routing and subnets
- Protocol road
- Routing protocols IPs
- Die-cutting mechanism subnets
Unit11: Transport layer and application layer of the protocol TCP/IP
- transport layer TCP/IP
- Layer application
Unit12 – Routing static
Unit13 – Presentation of routing protocols dynamic
Unit 14 – Vector Routing Protocols distance
Unit15 – RIP Protocol version1
Unit16 – VLSM and CIDR
Unit17 – RIP Protocol version2
Unit18 – Routing Table: Review detailed
Unit19 – Protocol EIGRP
Unit20 – Stateful Routing Protocol connections
Unit21 – Protocol OSPF

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

The basic concepts of networks computer

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
Claude Servin, Networks and Telecoms, Dunod, 3rd edition, 2008
Andrew Tanenbaum, Networks, Pearson Education, 4th Edition, 2004
Guy Pujolle, Networks, Eyrolles, 6th edition, 2007

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes

At the end of the course, the student must:

identify network fundamentals
Identify and configure LAN switching technologies
Describe, implement and verify IP routing technologies
Identify and configure WAN technologies
Identify and configure infrastructure services
Configure and verify network device security
Configure infrastructure management
Use Cisco IOS Software
Design a LAN network, VLAN and configuration
Know IPv4 addressing, full and classless routing
Know the design and configuration of the RIP, OSPF and EIGRP network

Wireless networks GINF41R04

Code : GINF41R04 Wireless networks

Learning objectives and skills aimed

Mastering layer 2 networks without son
Become familiar with the design of networks without son

Course content

Part 1: Wireless LANs thread
- Architectures
- The mode DCF/PCF
- Access control via CSMA/CA and RTS/CTS
Part 2: Networks Ad hoc
- Models of mobility
- Models of communications
- Routing in networks ad hoc

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

wired networks

References bibliographic

A handout (Course Notes) from the teacher will be
Claude Servin, Networks and Telecoms, Dunod, 3rd edition, 2008
Andrew Tanenbaum, Networks, Pearson Education, 4th Edition, 2004
Guy Pujolle, Networks, Eyrolles, 6th edition, 2007

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of the course, the student must:

Know the concept of systems thinking in the context of mobile and wireless systems
Have knowledge of the interplay of concepts and multiple sub-disciplines in mobile and wireless systems
Have knowledge and experience in the design of interfaces and mobile applications, as well as in development techniques and methodologies within the framework of a research project involving a real-world application
Have knowledge and experience in applying various computational methods and algorithms in software development
Have experience in evaluating mobile computing applications, computational methods, and algorithms through experiments and simulations
Read and understand scientific research articles and present them at a seminar.

Virtualization and cloud computing GINF42R03

Code : GINF42R03 Virtualization & cloud computing

Learning objectives and skills aimed

Understand the basic concepts used in
Understand the basic concepts used in the Cloud

Course content

There virtualization
- Definition of virtualization
- Why virtualization ?
- The uses of virtualization
- The technical concepts of virtualization
- Profits
- THE challenges
- The main solutions software
the cloud Computing
- Preamble
- Definition
- Architecture: Services proposed
Virtualization and the Cloud Computing

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Basis of Networks

References bibliographic

A handout (Course Notes) from the teacher will be

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of the course, the student should:

Understand the technological basics related to virtualization.
Understand the basic concepts behind virtualization and understand its ubiquity in real-world application scenarios.
Use basic concepts to create virtualized environments.
Know how to implement and manage a realistic virtualized environment.

Networks and access technologies GINF5R02

Code : GINF5R02 Networks and access technologies

Course content

Organization of networks of the operator
Switching virtual circuits: case ATM
Switching by VC in IP: MPLS
Access: networks optical
Access: networks xDSL

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Transmission of data
Networks computer

References bibliographic

A handout (Course Notes) from the teacher will be
Claude Servin, Networks and Telecoms, Dunod, 3rd edition, 2008
Andrew Tanenbaum, Networks, Pearson Education, 4th Edition, 2004
Guy Pujolle, Networks, Eyrolles, 6th edition, 2007

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of the course, the student must:

be familiar with wide area networks
Master the architecture of the operator mainly the part towards the internet
Master the difference between networks and access technologies
Understand the technologies used in access networks.
be able to identify and apply tasks in the field of access networks.

Open Radio Access Network Security RAN01

Coded

: RAN01

Open Radio Access Network Security

Hours : 0h75 Integrated lessons & 1h30 Practical work (per week)

Description of the training

Open RAN, and in particular the O-RAN standardized by the O-RAN Alliance, is currently one of the hottest topics in the field of wireless mobile communications. O-RAN promises significant OPEX and CAPEX savings to Mobile Network Operators (MNOs), driving innovation and competition in the Radio Access Network (RAN) through open interfaces, virtualization and developments architectures that maximize the potential of innovative RAN solutions and services delivered by a multitude of enterprises.

Learning objectives and skills aimed

Next, the limitations and overhead resulting from proprietary aspects of 3GPP-based non-open RAN solutions are analyzed, laying the foundation for the presentation of the O-RAN framework.

The O-RAN proposal is first introduced by presenting the relevant standardization effort, the ecosystem, the parties involved and the current status of deployment.

Next, the technical aspects of O-RAN are analyzed, including architecture, interfaces, software and hardware aspects, and the role of virtualization.

A detailed analysis of the role of intelligent RAN controllers (RICs) is provided, explaining how the architecture of RICs opens up the RAN to innovative solutions and features.

Finally, the instructor presents case studies of early adopters of O-RAN, summarizing key findings from these early deployments and discussing potential challenges and threats to O-RAN.

Content

Presentation of the RAN and evolution from 4G to 5G
The O-RAN initiative
O-RAN architecture and interfaces
Hardware and Software Aspects of O-RAN
Unleash innovation with O-RAN
Case Studies – Current Developments in the Industry

Teaching and learning methods

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

General knowledge of radio access technology is required.

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographical recommendations .

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcome:

At the end of this course, you will have acquired :

Knowledge of Radio Access Network (RAN) architecture and RAN splitting options.
Understanding of the limitations of proprietary RAN products and interfaces.
Awareness of the opportunities and challenges brought by open interfaces and cloud-native implementation in RAN.
Knowledge of O-RAN standardization, architecture and interfaces.
Understanding of the innovation opportunities offered by the O-RAN architecture and intelligent RAN controllers.
Knowledge of the current status of O-RAN deployment and market trends.

Cloud-Native 5G Evolution to 5G-Advanced & Beyond RAN02

Code : RAN02 Cloud-Native 5G Evolution to 5G-Advanced & Beyond RAN02

Summary :

Understand the end-to-end 5G architecture and its roadmap to advanced 5G and beyond, including the 5G core, enabling a variety of use cases, next-generation service and cloud-based architecture telecommunications

Learning objectives and skills aimed

Attendees will study 5G systems, focusing on end-to-end cloud native and the increasingly disaggregated and intelligent 5G system. Timelines and how the wide range of use cases with varying requirements are enabled will be addressed. An explanation of the integration of 4G, Wi-Fi, fixed and non-terrestrial communications in the multi-access and converged future will be provided. The core of 5G and its key functions in separate control and user planes, as well as end-to-end service enablement, leveraging the native telecom cloud and an increasingly open RAN, disaggregated and cloud-based will be discussed. The attributes, use cases and technologies of 5G-Advanced will be described as the full vision of the 5G roadmap is realized. This includes new and expanded capabilities in applications, performance, power efficiency, topologies, and user device types.

The instructor will explain the evolution of next-generation architecture, technologies, and operation and how network slicing, cloud-native technologies, microservices containerization, software-defined networking, automation, orchestration, etc. are introduced from the design and built and evolved. Technology enablers such as machine learning as a critical aspect of automation, intelligent edge and hybrid cloud, etc. will also be covered, from architecture and standards to deployments and activation of services, including how they migrate and scale. Also, the increasing fusion of physical, virtual and digital worlds, immersive extended reality and the use of digital replicas are described.

The course will conclude with important future-looking paradigms: the evolution of digital transformation and automated industries with an increasingly open, converged, autonomous and cognitive 5G/5G-Advanced system, and its path towards energy efficiency and environmental sustainability, embedded intelligence, immersive experience, and digital/physical fusion towards beyond 5G/6G

Content of course

Motivation and characterization 5G
Digital socio-economic transformation and increasingly automated industries wide range of use cases
5G characterization
5G architecture, deployment, operation
Evolution from 4G to 5G, disaggregation of 5G core and service-based architecture, role of functions, end-to-end operation with examples (of user access, mobility and session to Internet) , key protocols, QoS
5G deployments and migrations and interworking – real world examples
Standards publications, study and work items, and schedule
Use cases and case studies
Cloud Native 5G System Roadmap
Cloud, NFV/virtualization, containers/micro-services, SDN, SD-WAN, O-RAN, ONAP, orchestration and automation, etc.
Cognitive autonomous 5G E2E, including a cloudified and increasingly disaggregated and intelligent RAN, as well as edge computing
Network slicing and E2E service delivery
5G multi-access
5G core neutral in access, continuity of service, fixed/mobile, local/wide, terrestrial/non-terrestrial, evolution of standards
5G-Advanced
Motives, components, technologies – applications, performance, efficiency, topologies
Use cases, immersive extended reality and digital replicas, new devices and interfaces
Intelligence and machine learning
A stepping stone between 5G and beyond – digital transformation
Energy efficiency and sustainability – climate change and net-zero technologies, operations and practices
From full realization of 5G/5G-Advanced to beyond 5G/6G
Summary & conclusion

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Administration of Systems
Engineering of protocols

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- LPIC-2 Linux Professional Institute Certification Study Guide Exams 201 and 202 by Roderick W. Smith

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcomes:

At the end of the course students will gain an understanding of :

5G system, architecture and functions
5G deployments, migration and roadmap (including real examples)
Cloud-native containerization and cognitive automation of 5G system evolution and operation
Multi-access nature of the 5G core and ubiquitous services through the integration of fixed/mobile, local/wide, terrestrial/non-terrestrial networks
Wide range of use cases, with case studies and many examples of how value/service is created and delivered to a wide range of use cases with varying requirements
How does end-to-end work, how does it connect to other Comsoc courses (e.g. 5G NR, Security, IoT, Cloud, etc.) and how to be empowered to dig deeper into any component
The work of standards bodies and the state of the ecosystem and industries
Full realization of 5G in the coming years and its evolution path, including 5G-Advanced use cases, architecture, efficiency, device types, topologies and technologies
Energy efficiency, green and sustainability
Motivations for systems beyond 5G. Research and global initiatives on 6G and systems for 2030 and beyond.
Background and overview, end-to-end picture of aspects and how it will evolve over the next 2-10 years
Wide range and key research areas

LPIC-2 network services GINF5R06

Code : GINF5R06 Administration of LPIC-2 network services

Learning objectives and skills aimed

The main objective of this course is to master the implementation of network services and to prepare for the LPI-201 and LPI-202 certification exams. LPIC-2. “Advanced Level Linux Professional”.

Course content

Part 1: LPI 201

Planning of resources
- Measure resource usage and troubleshoot problems
- Forecasting needs in resources
The core linux
- Components of core
- Compilation of core
- Hot kernel management and troubleshooting problems
Start of system
- Customizing init startup scripts SysV
- Recovery of system
- Boot Loaders alternative
File systems and peripheral devices
- Intervention on the file system linux
- File system maintenance linux
- Options for creating and configuring security systems files
Advanced Device Administration storage
- Configuring RAID software
- Adjustment of access to peripherals of storage
- volume manager logic
Configuration network
- Network configuration of base
- Network setup advanced
- Problem resolution network
Maintenance system
- Compiling and installing programs from sources
- Operations of backup
- Information of users

Part 2: LPI 202

name server domain
- Basic server configuration DNS
- Creating and updating zones DNS
- Securing a server DNS
Services website
- Basic configuration from Apache
- Configuring Apache for HTTPS
- Setting up the proxy server squid
- Setting up Nginx as a web server and proxy reverse
Sharing of files
- Configuring a server SAMBA
- Configuring a server NFS
Customer management network
- Configuration DHCP
- Authentication WFP
- Clients LDAP
- Configuring a server OpenLDAP
Courier services electronic
- Use of servers messaging
- Local distribution of emails
- Remote distribution of emails
Safety of system
- Setting up a router
- Server management FTP
- Secure Shell (SSH)
- Tasks of security
- OpenVPN

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Administration of Systems
Engineering of protocols

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- LPIC-2 Linux Professional Institute Certification Study Guide Exams 201 and 202 by Roderick W. Smith

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcomes:

At the end of the course:

Students will gain knowledge and practical experience of modern technologies for GNU/Linux that are used in complex enterprise environments.

Using these technologies, students will be able to design and implement GNU/Linux server-based solutions for various server application scenarios.

The extent of the knowledge acquired corresponds to the level of the “ Linux professional certification” certifications .

Improved knowledge of operating systems and their administration .

Network Security and Audit GINF5R07

Code : GINF5R07 Network security and audit

Learning objectives and skills aimed

The main objective of this course is to master the concepts and techniques of security and auditing of systems and networks and to prepare for the LPI-303 certification exam. LPIC-3.

Course content

Cryptography
- 509 Certificates and Public Key Infrastructure
- 509 Certificates for Encryption, Signing and authentication
- Encrypted File Systems
- DNS and Cryptography 2 Host Security
- Host Hardening
- Host Intrusion Detection
- User Management and authentication
- FreeIPA Installation and Samba Integration
Access control
- Discretionary Access control
- Mandatory Access control
- Network File Systems 4 Network Security
- Network Hardening
- Network Intrusion Detection
- package Filtering
- Virtual Private Networks

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Administration of Systems
Engineering of protocols

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download

Modality devaluation

40% Continuous assessment (Graded lab, Test, Attendance, Supervised homework, non-presential work, …)
60% Review

Learning outcomes:

At the end of the course the student must:

Know how to administer a GNU/Linux operating system in advanced mode;
Thoroughly know how to configure and perform OpenLDAP administration tasks;
Know how to manage and configure the Linux kernel (Kernel);
Have knowledge of the different Kerberos integration methods;
Know how to configure an Apache HTTP, DNS and SSH server;
Know how to perfectly manage and configure Samba and NFS (file sharing);
Know how to master the configuration of Mail Transfer Agent (MTA) under Linux;
Know how to perfectly manage an LDAP directory from start to finish;
Know how to configure BIOS or UEFI in detail;
Know how to manage SMB and CIFS file sharing protocols;
Pass the LPI 300 certification exam.

Performance evaluation of GINF5R04 systems

Coded

: GINF5R04

System performance evaluation

Learning objectives and skills aimed

Modeling systems with networks of queues expectations
Perform operational analysis to assess the performance of a system

Course content

Approaches for the evaluation of
Areas of application.
The cycle of
Measures of
Fundamental operational laws and Analysis of flows in a network of queues (Job Flow Analysis).
Bottleneck Analysis and asymptotic behavior behaviour).
Performance evaluation of open queuing networks and
Mean Value Analysis Algorithm. Discrete event simulation. Design methodology of a discrete event simulator. Generation of random numbers. Estimation of metrics. Verification and
Introduction to some computer network simulators such as ns2 and

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Math applied
Statistics and probabilities

References bibliographic

A handout (Course Notes) from the teacher will be
PJ DENNING & JP BUZEN, THE OPERATIONAL ANALYSIS OF QUEUING NETWORK MODEL [225-261], acm computing survey Volume 10 Number 3 September 1978
FERRARI & G. SERAZZI & A. ZEIGNER, MEASUREMENT AND TUNING OF COMPUTER SYSTEMS [366-387] Prentice Hall,inc 1983
RAJ JAIN, THE ART OF COMPUTER SYSTEMS PERFORMANCE

Ø ANALYSIS [547-569], Wiley 1992

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of the course, the student should be able to:

(1) use applied probability theory to measure the performance of a system.

(2) Understand statistics and presentation of data.

(3) Practice performance appraisal techniques and performance measures or metrics.

(4) Summarize and analyze the results of experiments.

(5) Compare systems using sample data.

(6) Use queuing theory to measure system performance.

(7) Analyze single queue systems.

(8) Analyze simple queuing networks.

(9) Model communication networks and computer I/O systems

Preparation for CCNA 3 and 4 GINF5R03

Code : GINF5R03 Preparation for CCNA 3 and 4

Learning objectives and skills aimed

Master the basics of switching and intermediate routing ;
Configure VTP, STP protocols ;
Know how to master local networks virtual

Course content

Unit 1: Introduction to classless routing (routing CIDR)
VLSM
RIP version 2
Unit2: Single Zone OSPF
Stateful Routing Protocol connections
Single zone concepts OSPF
Single Zone Setup OSPF
Unit3: Protocol EIGRP
concepts EIGRP
Configuration EIGRP
Troubleshooting Protocols routing
Unit4: Concepts of switching
Overview of LAN Networks Ethernet/802.3
Introduction to Switching LAN
Operation of a switch
Unit5: The switches
Design LAN
Switches LAN
Unit6: Configuring a switch
Start of switch
Configuring the switch
Unit 7: Spanning Tree Protocol (PLS)
Topologies redundant
Spanning Tree Protocol (PLS)
Unit8: Virtual LANs (VLAN)
concepts VLANs
Configuration VLANs
Troubleshooting VLANs
Unit9: VTP Protocol (VLAN Trunking Protocol)
Aggregation (Trunking)
VTP
Overview of routing between VLANs
Unit10: Address Scalability IPs
NAT and PAT
Protocol DHCP
Unit11: Technologies WANs
Overview of technologies WANs
Technology WANs
Design of a WANs
Unit12: PPP
Point-to-point serial links point
Authentication PPP
Configuring PPP
Unit13: ISDN and DDR
concepts ISDN
Configuration ISDN
Configuration DDR
Module 14: Frame relay
Frame Concepts Relay
Configuring Frame relay
Unit 15: Introduction to administration network
Workstations and servers
Administration network

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Exercises theoretical And studies of case (presentation And discussion).
Practical work (laboratory)
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

CCNA 1 and 2

References bibliographic

A handout (Course Notes) from the teacher will be
Other references in the form of tutorials, manuals or documents to download
The following bibliographic recommendations should be considered :
- AUTHOR_NAME(s), « Book Title », publisher’s name, year of publication. Number of pages (exp, 550 p). ISBN: …

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of the course, the student should be able to:

Work with routers and switches using OSPF in point-to-point and multi-access networks.
Mitigate threats and improve network security using access control lists and security best practices.
Develop critical thinking and problem solving skills using real equipment and Cisco Packet Tracer.
Understand virtualization, SDN, and how APIs and configuration management tools enable network automation.
Master extended networks and PPP protocols, FaramesRelay;
Master network security and troubleshooting.

New generation networks GINF5R01

Code : GINF5R01 New generation networks

Learning objectives and skills aimed

Study new core network architectures for operators
Describe new technologies IPs
Understand the architectures of NGN networks and their challenges
Design or upgrade a network to IMS
Describe and specify the services that can be performed by the NGN
Develop service plans based on IP technologies, IMS

Course content

Chapter 1: General architecture of a NGN
- Principle of NGN
- Plan approach in the NGN
Chapter 2: Outline access
- IPMSAN for Network PSTN
- IPMSAN for the WHRD
- Frame network Relay
Chapter 2: Outline Transportation
- Media Gateway and Universal Media Gateway
- IP backbone and the metro ethernet
Chapter 3: Outline Control
- SoftSwitch
- SIP signaling and 48
Chapter 4: Outline Service
- VoIP
- IPTV
Chapter 5: Example of NGN
- IMS: IP Multimedia substem
- 3GPP

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Networks and technologies access
Technology IPs

References bibliographic

A handout (Course Notes) from the teacher will be
IP Communications and Services for NGN, Johnson I. AgbInyA, Wiley, Edition,

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of this module, students should be able to:

Critically discuss the evolution of networking technologies in relation to its current evolution and vision for the future Internet.
Analyze network architecture and elements for Software Defined Networks (SDN) and Network Functions Virtualization (NFV) networks.
Design, analyze, and implement an SDN network using multiple virtual controllers and switches demonstrating how the protocol works between the architectural components of the network.
Discuss and critically design the physical and network infrastructures of a modern data center.
Build, configure, and secure a complex routed and switched data center network by leveraging next-generation networking concepts.
Evaluate how media access protocols work in contemporary wireless standards for LANs, WANs and the Internet of Things, and discuss coexistence between different types of systems.

Core 5G GINF5R02

Code : GINF5R02 Core 5G GINF5R02

Learning objectives and skills aimed

Study new core network architectures for operators
Describe new technologies IPs
Understand the architectures of NGN networks and their challenges
Design or upgrade a network to IMS
Describe and specify the services that can be performed by the NGN
Develop service plans based on IP technologies, IMS

Course content

Chapter 1: Mobile networks. We give an overview of the structure of mobile networks, their creation and standardization, and the main services provided by mobile networks.
Chapter 2: 4G networks. To fully understand 5G and beyond, we revisit the 4G architecture which illustrates crucial design principles and patterns in mobile networks. Many mechanisms introduced in 4G are carried over to 5G.
Chapter 3: 5G networks. We present the key principles and design factors of 5G and illustrate how 5G networks work.
Introduction to 5G core networks
5G network architecture
5GC Protocols
Session management
5GC policies
Network slicing
5GC Security
EPC interworking
Roaming
5GC Services
Chapter 4: Towards 6G networks. After studying 4G and 5G networks, we discuss the design and standardization of the next mobile network architecture: 6G. This chapter concludes the course.

Completion methods

Exercises include multiple choice quizzes and numerical exercises.
MCQs and numerical exercises are ticked automatically.
The course material contains text and interactive elements.
The exercises challenge you to re-read the material and access enough additional sources to produce an answer .

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Networks and technologies access
Technology IPs
A basic understanding of computer networking and wireless communications is

References bibliographic

A handout (Course Notes) from the teacher will be available with a bibliography.

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

At the end of this course, the student should be able to:

Describe the evolution of the mobile network and the role of standardization.
Demonstrate knowledge of major standards organizations at a high level.
Describe the motivation for the evolution of the 5G core network.
Identify the key objectives of 5GC.
Recognize the main components of the 5G core network.
Describe the building blocks of 5GC.
Illustrate the 5G Core network architecture.
Describe service-based representation.
Explain deployment options.
Identify key EU identifiers in 5GS.
Identify the 5GC – UE and 5GC – RAN signaling connections.
Explain the protocol stack of 5GC signaling interfaces.
Describe how user plane data is transmitted and transferred between the NG-RAN and external data networks.
Introduce session management.
Illustrate PDU session establishment procedures.
Discuss 5G QoS functionality and list QoS features and parameters.
Describe session and service continuity.
Explain the functionality of the Policy Control feature
Describe AMF – PCF Policy Association and PCF – SMF Policy Establishment
Illustrate the AF-PCF call flow
Explain EU policies: URSP and ANDSP
Explain the slicing of the network in 5G.
Describe how to select and configure network slices.
Describe network slicing while roaming.
Discuss the interworking of network slicing with EPS.
Recognize the security architecture in the 5G core network.
Identify security requirements and features in 5G RAN and 5G CN.
Describe security procedures between UE and 5G network functions.
Explain security for interworking between EPS and 5GS.
Describe security management for network slices.
Describe mobility interworking with NSA and SA modes.
Explain UE registration modes for EPC interworking.
Identify the role of the N26 interface during the handover between NR and LTE.
Describe options for interworking with and without N26.
Compare 4G and 5G roaming architecture and application scenarios.
Describe network slicing architectures in 5G roaming.
Discuss the role of roaming steering in the 5G architecture.
Describe authentication and security procedures in 5G roaming
understands the evolution of the 5G architecture to 6G.
can discuss the performance and efficiency goals of the initial 6G planning.
can give examples of potential new services that 6G could enable.

Introduction to SIP Logon Protocol TEL501

Code : TEL501 Introduction to SIP Session Initiation Protocol

Learning objectives and skills aimed

Session Initiation Protocol training provides an overview of SIP, its components, and how it works. It covers data networking principles for telecommunications engineers and signaling principles for IP engineers.

The SIP course also describes SIP implementations on the market in the form of single-line gateways, proxy servers, media gateways, toolkits, encoders/decoders, and session authenticators.

Course content

Unit 1: Introduction to SIP

Fundamentals of how SIP works
SIP Context and Architectures
SIP Sessions
SIP flows
Basic SIPs
encapsulation
Translation
SIP content negotiation
Session Description Protocol (SDP)
Security Considerations
HTTP and SMTP, SIP
SIP Extended Features and Services
Call control services, mobility, interoperability with existing telephony systems
Normalization status
Supported services
Proprietary extension and negotiation mechanisms
Interoperability of services and features
Interworking with the PSTN
Service creation issues
Basic call functions
Quality of service issues
Network Services
Conferencing and addressing

Unit 2: SIP System Operations

SIP Settings
Protocols
User agents
call processors
Customer Status
Address Tracking
Call forwarding

Unit 3: How the SIP protocol works

Client/server operations
Proxy servers
SIP Messaging
transport layer
SIP extension
Extension negotiation
Technical details of SIP extensions
SIP Extensions
Session Description Protocol (SDP)
SDP packets
SIP Timer
SIP Programming

Unit 4: SIP Entities

SIP Components
SIP customers
SIP as a peer-to-peer protocol
User agents (UAs) as peers in a session
User Agent Client (UAC)
User Agent Server (UAS)
SIP servers
Using a proxy server
Use a redirect server
Proxy server
Redirect server
Registry

Unit 5: SIP Messaging

Post Types
Message parts
Sample messages
Requests
Answers
Header fields
Body
SIP message framing
Status Code Definitions
1xx information
2xx passed
3xx redirect
4xx request failed
5xx server failure
6xx Global Failures

Unit 6: SIP Settings

Header fields
Option tags
Warning codes (warn-codes)
Methods and response codes
reason protocols
Names of security mechanisms
Compression schemes

Unit 7: SIP Signaling Flow in IMS and LTE

LTE Core Network Architecture
Call management in IMS
Smooth transfer
hard transfer
Registration
Login
End of session
Roaming scenarios
Voice over LTE

Module 8: SIP Products and Trends

Application servers
Apps
Session boundary controllers
SIP-based services
SIP gateways
SIP hardware devices
SIP Phones
SIP presence and messaging servers
Software Development Kits
Testing and simulating

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Networks and technologies access
Technology IPs

Specific prerequisites

Computer and data communications or equivalent knowledge

References bibliographic

A handout (Course Notes) from the teacher will be
IP Communications and Services for NGN, Johnson I. AgbInyA, Wiley, Edition,
Henry Sinnreich and Alan B. Johnston, Internet Communications Using SIP: Delivering VoIP and Multimedia Services with Session Initiation Protocol, 2nd Edition, Wiley, August 2006, ISBN: 0-471-77657-2

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

This course will provide both practical and general knowledge about Voice over IP.

The focus will be on the underlying protocols.

After this course, a student should be able to:

Understand the basics of VoIP
Discover where, why and how SIP is used
Understand the basics of SIP
Understand the architecture and components of SIP
Understand the differences between SIP and H.323
Understanding H.323-SIP-SS7 Interworking
Examine the SIP-T concept and architecture
Understand how to size and choose from available SIP products

Convenient Voice over IP TEL5P01

Code : TEL5P01 Practical Voice over IP

Learning objectives and skills aimed

This course will focus on the protocols associated with Voice over IP. The course should provide both practical and more general knowledge about these protocols.

One of the main objectives of the course is for the student to be able to rely on these protocols to activate new services.

Additional information

This course will provide both practical and general knowledge about Voice over IP. The focus will be on the underlying protocols. After this course, you should have some knowledge of these protocols: what they are, how they can be used, and how they can be extended. You should be able to read current literature at the level of conference papers in this area

As with the Internetworking course, you may not be able to understand all journal, magazine and conference articles in this area – you should be able to read 90% or more and have a good understanding. In this area, it is particularly important to develop the habit of reading magazines, specialized journals, etc. In addition, you should also be aware of standardization activities, new products/services and public policies in the field.

You should be able to write papers suitable for submission to scientific journals at other conferences. This course should prepare you to start an exjobb in this field or to start a thesis or dissertation.

Course content

Practical Voice over IP (VoIP): SIP and related protocols

This course will focus on the protocols associated with Voice over IP. The course should provide both practical and more general knowledge about these protocols. One of the main objectives of the course is for the student to be able to rely on these protocols to activate new services.

The course consists of 10 hours of lectures and assigned work requiring approximately 50 hours of work per student.

Topics

Session Initiation Protocol (SIP)

Real Time Transport Protocol (RTP)

Real Time Streaming Protocol (RTSP)

Common Open Policy Server (COPS)

SIP User Agents

Location server, redirect server, SIP proxy server, registration server, … , provisioning server, feature server

Call Processing Language (CPL)

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Networks and technologies access
Technology IPs

Specific prerequisites

Computer and data communications or equivalent knowledge

References bibliographic

A handout (Course Notes) from the teacher will be
IP Communications and Services for NGN, Johnson I. AgbInyA, Wiley, Edition,
Henry Sinnreich and Alan B. Johnston, Internet Communications Using SIP: Delivering VoIP and Multimedia Services with Session Initiation Protocol, 2nd Edition, Wiley, August 2006, ISBN: 0-471-77657-2

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

To get an « A » you must write an outstanding or excellent article.

To get a « B » you must write a very good article, that is, it must either be a very good review or present a new idea.

To get a « C », you must write a paper that shows you understand the basic ideas behind mobile and wireless networks and that you understand one (or more) particular aspects at the level of an average master’s student. in the field.

To get a « D » you must demonstrate that you understand the basic ideas behind mobile and wireless networking, however, your knowledge is shallow in the subject of your article.

If your article contains errors (including incomplete references), the grade will be an « E ».

If your article has serious errors, the grade will be an « F ».

If your paper is close to passing, but not at the pass level, then you will have the option of « komplettering », i.e. students whose written paper fails can submit a revised version of their paper (or a completely new task) – who will be assessed; likewise, students whose oral presentation is unacceptable may be offered a second opportunity to make their oral presentation. If a student fails the second oral presentation, they must submit new work on a new topic in order to give an oral presentation on that new topic.

Learning Outcomes :

This course will provide both practical and general knowledge about Voice over IP. The focus will be on the underlying protocols.

After this course, a student should be able to:

Understand the relevant protocols (especially SIP, SDP, RTP and SRTP): what they are, how they can be used and how they can be extended.
Enable you to use SIP presence and event-based communications
Understand how SIP can provide application-level mobility as well as other forms of mobility
Understand how SIP can be used to facilitate communications access for users with disabilities (e.g. using real-time text, text-to-speech, and speech-to-text) and know the basic requirements for providing such services
Understand that SIP can be used as part of Internet-based emergency services and know the basic requirements for providing such services
Compare peer-to-peer VoIP systems (i.e. how they differ, how they might scale, who the peers are, …)
Know relevant standards and specifications – both protocols and requirements (e.g. regarding lawful interception)
Understand the key issues of service quality and security
Assess existing VoIP and other related services (including presence, mobile presence, location, context and other services)
Design and evaluate new SIP-based services
Read current literature at the level of conference papers in this area.
Although you may not be able to understand every article in journals, magazines and conferences in this area, you should be able to read 90% or more and have a good understanding. In this area, it is particularly important to develop the habit of reading magazines, specialized journals, etc. In addition, you should also be aware of standardization activities, new products/services and public policies in the field.
Demonstrate oral and written knowledge of this area.
Write an article suitable for submission to conferences and journals in the region.

Networked Multimedia and Services TELM500

Code : TELM500 Networked Multimedia and Services

Course Description

Introduction to multimedia services, concepts and terminology. Fundamental service architectures and communication requirements. Media spatial and temporal relations, synchronization. Multimedia content formats and standards. Auditory and visual multimedia content. Synthetic content. Content metadata and search. World Wide Web, architecture, communication protocols, applications and technologies. Multimedia streaming. Content Delivery Networks. Internet telephony. Multimedia conference. Multimedia services in mobile networks. Collaborative services, multi-user games and virtual environments.

Normative documents

Teaching forms

Conferences

The courses are organized in two blocks: the first block includes lectures and an intermediate exam, while the second includes lectures and a final exam.

Independent assignments

Students must independently solve 2 practical tasks (homework).

Laboratory

Students independently solve 3 practical tasks through laboratory exercises.

Content :

Introduction to multimedia services.
Classification of multimedia services.
Quality of service and quality of experience.
Models and architectures of multimedia communication systems.
Distributed systems and distributed processing models.
The basics of encoding multimedia content: audio, images, video.
Media streaming templates. Adaptive streaming over HTTP.
IPTV and Over The Top (OTT) video streaming.
Content Delivery Networks (CDN).
Cloud-based services.
Mid-season review
Conversational real-time services: (S)RTP/RTCP protocols. WebRTC technologies.
Conferencing services and multi-user environments. Networked virtual and augmented reality.
Multimedia Quality of Experience (QoE). Modeling, monitoring and management of QoE.
Decentralized software systems, P2P networks and examples of services.
Web search engines.
Networked multimedia services in an industrial environment.
Final exam

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Prerequisites

Although this course does not require any prior knowledge or understanding of RTP/RTCP, a basic understanding of VOIP and IP technology would be beneficial.

Networks and technologies access
Technology IPs

Specific prerequisites

Computer and data communications or equivalent knowledge

References bibliographic

A handout (Course Notes) from the teacher will be available.
James F. Kurose, Keith W. Ross (2010.), Computer Networking, Addison-Wesley Longman
Andrew S. Tanenbaum, David Wetherall (2011.), Computer Networks, Prentice Hall
Wes Simpson (2013.), Video Over IP, Taylor & Francis
Sebastian Möller, Alexander Raake (2014.), Quality of Experience, Springer
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu (2021.), Fundamentals of Multimedia, Springer

Modality devaluation

	Continuous Assessment		Exam
Kind	Threshold	Percent of Grade	Threshold	Percent of Grade
Laboratory Exercises	15%	25%	15%	25%
homeworks	20%	10%	20%	10%
Mid Term Exam: Written	0%	25%	0%
Final Exam: Written	0%	30 %
Final Exam: Oral		10%
Exam: Written			0%	55%
Exam: Oral				10%

Learning outcomes:

Upon completion of this course, participants will have a good understanding of:

Describe fundamental characteristics and methods of multimedia coding.

Explain the fundamental concepts and architecture of the World Wide Web.

Create simple static and dynamic web content.

Analyze web traffic between client and server.

Describe the fundamentals of web search.

Explain Voice over IP (VoIP), its architecture and identify fundamental protocols.

Explain IP video and IPTV broadcasting.

Explain the fundamentals of P2P networks and applications.

Demonstrate and analyze services based on dynamic adaptive streaming over HTTP.

Explain the fundamentals of collaborative multimedia services and multi-user network games.

Satellite communications SAT001

Code : SAT001 Satellite Communications

Course Description

This popular and intensive course will provide you with an in-depth knowledge of satellite communication techniques, modern satellite multiple access, modulation and coding systems, as well as an update on key emerging technologies and future systems .

Content :

Review of satellite systems: state of the art today

Introduction to satellite networks

Radio Regulations, ITU-R/T, IFRB
Frequencies
Interference management
Space and Ground Segment Components
Earth stations
Buses and payloads
Antennas and coverage
Transparent and non-transparent transponders
FSS, MSS, BSS application areas and examples with state-of-the-art systems.
Dynamics of GEO, HEO, LEO and hybrid orbits
Echo control and effect on services: speech, vision, data and multimedia
Satellite Networking: SCPC, MCPC and Multiple Access Review
FDMA, TDMA, CDMA, RA, and where used
Traffic routing in single and multibeam satellites
Satellites versus other carriers and where applicable.
Control and operation of satellite systems, planning, implementation and maintenance of earth stations
IGOS – INTELSAT, INMARSAT, EUTELSAT etc.
Role of ESA, NASA, NASDA, regional and national systems, private organizations and consortia – the shift to privatization
Launch organizations, manufacturers, operators and service providers – business models
Review of FSS, BSS, MSS systems, state of the art and current developments.

System planning and link budgets, part one

Basic transmission theory, FSL, antenna theory, gain, radiation pattern, eirp, satellite observation angles and ranges.
Noise sources, noise temperature, noise factor, sky noise G/T ratio and C/N calculation for up-path and down-path.
Intermodulation, back-off, interference and C/I calculation.
Effects of rain for FSS and multipath shadowing for MSS systems – calculation of margins.
Link budget to overall C/N and availability.
Meaning of QoS.
Differences between GEO and non-GEO link budgets.
Types and choices of digital modulation PSK.
Eb/No coherent differential modems, BER, etc., filtering and bandwidth calculation.
FEC encoding, code rate, code types.
Coding error when swapping power and bandwidth – power and bandwidth limits.
Eb/No relationship with C/No and system quality of service requirements.
Examples of link budget planning for desired QoS/availability.

Modulation and modems in satellite communications

Adaptive coding and modulation (ACM) in satellite systems. OFDM principles and practical applications in satellite communication systems.
Basic coding for satellite communications
Review of standard modulation formats (PSK, QAM) and introduction to variants used in satellite systems, such as OQPSK, MPSK, APSK. Introduction to turbo codes and low density parity check (LDPC) codes.

Introduction to Team Projects
System Planning and Link Budgets, Part Two
Service Delivery and Quality of Service for Digital Systems
Multiple Access

Examination of FDMA, TDMA and CDMA in a fixed satellite network and MF-TDMA. ALOHA and CSMA random access schemes. CDMA operation in mobile satellite systems – improved random access systems for VSATs.

Advanced air interfaces for satellite communications

Review of standard modulation formats (PSK, QAM) and introduction to variants used in satellite systems, such as OQPSK, MPSK, APSK. Introduction to turbo codes and low density parity check (LDPC) codes. Adaptive coding and modulation (ACM) in satellite systems. OFDM principles and practical applications in satellite communication systems.

Earth station engineering

Antennas, ground station equipment and layout, types of ground station measurement – radio star, etc., interference management, examples of equipment and operations.

Payload Engineering

Design of payloads, noise and linearity, digital processing and embedded processing architectures. Examples of payloads and components, packaging and operation.

VSat and BB access (inc RCS2)

VSAT review – advantages and disadvantages. Structure of VSAT networks – star/mesh traffic types and description. Choice and comparison of the multiple access system – design for efficiency. Capacity, throughput analysis protocols and network interfaces. VSAT system design pilots. Regulatory aspects and licenses. DVB-RCS operation with VSAT.

High through input satellites

Use of Ka band and above with multibeam satellites and frequency reuse. Payload and antenna designs, interference management. Ground system gateways with diversity. Beam hopping and resource management. Examples in the Q/V/W and optical bands

Mobile satellite services

Review of principles of mobile satellite systems – Inmarsat, Thuraya, ACES. Constellations – Iridium. Globalstar and orbits. Standards ITU, ESTI, GMR, DVB-SH, SDR, etc. Markets and operations.

Constellations of non-GEO communications satellites

Satellite Communications Regulation

Frequency assignments and limitations, work of ITU committees in the fixed, mobile and broadcasting fields. Regulation of interference, satellite networks and coordination of earth stations. Operation of the regulatory regime.

Military satellite systems

Review of requirements for military satellite systems and frequency bands, modulation, coding and multiple access. Security and anti-jamming, cancellation techniques. Examples from current practice.

Small Satellite Technology and SSTL

Review of micro, mini and nano satellites. Constellations and uses. Manufacture of small satellites and launches. Applications in communications and ground resources.

The future of satellite communications

Update on current innovations and new system proposals, standards issues and technological developments that will shape satellite communications for the next 10 years.

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Prerequisites

Networks and technologies access
Technology IPs

References bibliographic

A handout (Notes of the course) of the teacher will be available with bibliographical references.

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

Upon completion of this course, participants will have a good understanding of:

Link budgets and planning
Modulation, coding and multiple access
Digital audio/video broadcasting
Satellite Personal Communication Systems
Satellite Networking
Plus, a good overall idea of current and emerging systems and technologies for the future.

Because the course also emphasizes the theoretical aspects of the subject, you will gain a comprehensive understanding of the field. Therefore, you will be in a better position to apply your knowledge in the workplace.

TEL502 RTP Real Time Transport Protocol

/ RTP Control Protocol (RTP/RTCP)

Code : TEL502 Real Time Transport Protocol (RTP)

Summary :

A protocol designed to handle real-time traffic (such as audio and video) from the Internet is known as the Real-Time Transport Protocol (RTP) .

RTP must be used with UDP . It does not have any delivery mechanism like multicast or port numbers. RTP supports different file formats such as MPEG and MJPEG. It is very sensitive to packet delays and less sensitive to packet loss.

This protocol is developed by Internet Engineering Task Force (IETF) of four members:

Casner (package design)
Jacobson (package design)
Schulzrinne (Columbia University)
Frederick (Blue Coat Systems Inc.)

The RTP protocol was first published in 1996 and known as RFC 1889 . It was subsequently published in 2003 as RFC 3550 .

Applications of RTP:

RTP mainly helps in mixing, sequencing and timestamping of media.
Voice over Internet Protocol (VoIP)
Internet video conferencing.
Internal audio and video broadcasting

Normative documents

RFC 3550, Standard 64, RTP: a transport protocol for real-time applications
RFC 3551, Standard 65, RTP Profile for Audio and Video Conferencing with Minimal Control
RFC 4855, Media Type Registration of RTP Payload Formats
RFC 4856, Recording the Media Type of Payload Formats in the RTP Profile for Audio and Video Conferencing
RFC 7656, A Taxonomy of Semantics and Mechanisms for Real-Time Transport Protocol (RTP) Sources
RFC 3190, RTP payload format for 12-bit DAT audio and 20- and 24-bit linear sampled audio
RFC 6184, RTP Payload Format for H.264 Video
RFC 3640, RTP Payload Format for Transporting MPEG-4 Elementary Streams
RFC 6416, RTP Payload Format for MPEG-4 Audio/Visual Streams
RFC 2250, RTP Payload Format for MPEG1/MPEG2 Video
RFC 4175, RTP Payload Format for Uncompressed Video
RFC 6295, RTP Payload Format for MIDI
RFC 4696, Implementation Guide for RTP MIDI
RFC 7587, RTP payload format for Opus voice and audio codec
RFC 7798, RTP Payload Format for High Efficiency Video Coding (HEVC)

Program overview

RTP/RTCP training provides a thorough understanding of RTP/RTCP signaling, message format, and protocols. This course is developed using the latest learning and delivery techniques which provide unparalleled development opportunities.

Content

Plan

Introduction _
real -time communication
RT P
PSTN rate limitation P
RTP and real time
Features
Data timestamp
Synchronization of streams
Resistance against losses, etc.
Identification of participants
Connection status monitoring
flow control
Congestion control
Transcoding

Typical Applications

Voice over IP (“VoIP”)
- Telephony
Videoconference
- Voice
Video _
- Transparencies
Interactive games
- Motion Updates ■
- Communication between participants

Less typical applications

News broadcast
Data (e.g. about the stock exchange)

Remote monitor
- Data collection
Telemetric control
- Data
- Orders
RTP was designed more for audio and video
- (but not exclusively)

Prerequisites

Although this course does not require any prior knowledge or understanding of RTP/RTCP, a basic understanding of VOIP and IP technology would be beneficial

Teaching methods and learning

Frontal teaching (masterful) with examples to be solved in
Theoretical exercises and case studies (presentation and discussion).
Work to be done at home (mini-project, presentation, report, …)

Knowledge and skills prerequisites

Networks and technologies access
Technology IPs

Specific prerequisites

Computer and data communications or equivalent knowledge

References bibliographic

A handout (Course Notes) from the teacher will be
IP Communications and Services for NGN, Johnson I. AgbInyA, Wiley, Edition,
Henry Sinnreich and Alan B. Johnston, Internet Communications Using SIP: Delivering VoIP and Multimedia Services with Session Initiation Protocol, 2nd Edition, Wiley, August 2006, ISBN: 0-471-77657-2

Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

Upon completion of this course, participants will have a good understanding of:

Presentation of intellectual property
Overview and Functions of RTP/RTCP
RTP/RTCP Packet Types
Format and fields of RTP/RTCP packets
RTP/RTCP Usage Scenarios

Image Analysis and Applications – EENG5610

Code : EENG5610 Image Analysis and Applications

Summary :

The module introduces the fundamental techniques used in image processing and pattern recognition, providing an understanding of how practical pattern recognition systems can be developed to solve the inherent difficulties present in real-life situations. The material is complemented by a study of biometric and security applications examining the specific techniques used to recognize biometric samples.

CONTENT

Unit I: Introduction to image processing

Image formation, image geometry perspective and other transformations, stereo imaging elements of visual perception. Sampling and quantification of digital images Serial and parallel image processing.

Unit II: Image Restoration

Image Restoration – Constrained and Unconstrained Restoration Wiener Filter, Motion Blur Removal, Geometric and Radiometric Correction Image Data Compression – Huffman and other codes transform compression, two-tone predictive compression Image Compression, Coding block coding, length coding and contour coding.

Unit III: Segmentation techniques

Segmentation techniques – threshold maintenance approaches, region growth, relaxation, line and edge detection approaches, edge binding, supervised and unsupervised classification techniques, remote sensing image analysis and applications, shape analysis – Gestalt principles, number of shapes, Fourier moment and other shape descriptors, Skeleton detection, Hough transform, topological and texture analysis, shape matching.

Unit IV: Pattern Recognition

Basics of pattern recognition, Principles of pattern recognition system design, Learning and adaptation, Pattern recognition approaches, Mathematical foundations – Linear algebra, Probability theory, Expectancy, mean and covariance, Normal distribution, Multivariate normal densities, Chi-square test.

Unit V: Statistical Pattern Recognition

Bayesian Decision Theory, Classifiers, Normal Density and Discriminant Functions, Parameter Estimation Methods: Maximum Likelihood Estimation, Bayesian Parameter Estimation, Dimension Reduction Methods – Principal Component Analysis (PCA), Linear Discriminant Analysis of Fisher, Expectation-Maximization (EM), Hidden Markov Models (HMM), Gaussian Mixture Models.

References bibliographic

A handout (Course Notes) from the teacher will be
Digital image processing – Ganzalez and Wood, Addison Wesley, 1993.
Fundamentals of Image Processing – Anil K. Jain, Prentice Hall of India.
Classification of Models – RO Duda, PE Hart and DG Stork, Second Edition John Wiley, 2006
REFERENCE BOOKS
Digital image processing – Rosenfeld and Kak, vol.I & vol.II, Academic, 1982
Computer Vision – Ballard and Brown, Prentice Hall, 1982
An Introduction to Digital Image Processing – Wayne Niblack, Prentice Hall, 1986
Pattern Recognition and Machine Learning – CM Bishop, Springer, 2009.
Pattern recognition – S. Theodoridis and K. Koutroumbas, 4th edition, Academic Press, 2009
Fairhurst, Michael Christopher (1988) Computer Vision for Robotic Systems: An Introduction, Prentice Hall, London, New York.
Solomon, Chris (2011) Fundamentals of digital image processing: a practical approach with examples in Matlab. Wiley-Blackwell.
Duda, Richard O.; Hart, Peter E.; Stork, David G. (2000) Model Classification, John Wiley and Sons.
Picton, Phil. (2000) Neural Networks. 2nd edition. Palgrave, Basingstoke.
Graupe, Daniel. (2019) Principles of Artificial Neural Networks – Basic Designs for Deep Learning. 4th ed. World Scientific Publishing.
Modality devaluation

40% Continuous assessment (Test + Individual work with oral presentation, Supervised homework, …)
60% Review half-yearly

Learning outcomes:

Upon completion of this course, participants will have a good understanding of:

Know the main methods of three main integrated themes:
(i) image processing (representation, transformation, extraction of key information from images);
(ii) image analysis (automatic image interpretation and pattern recognition methodology) and (
iii) computer architectures for image analysis (especially neural network structures).
2. Knowledge and critical understanding of the algorithms that underpin modern image analysis systems.
3. Have experience and a critical understanding of the requirements for implementing image analysis algorithms.
4. Have hands-on experience working with a range of typical algorithms and architectures

Research methods

Associated laboratory : STRUCTURE CODE: LR18ES43

It falls under the Department of Physics of the Faculty of Sciences of Tunis and is directed by Prof. Ali Gharsallah https://merlab.tn/

Ali Gharsallah

Rank: Professor

Speciality: Telecommunications

Director of the MERLAB Research Laboratory

Presentation

Ali Gharsallah obtained the diploma of radio frequency engineer from the Higher School of Telecommunications of Tunis, Tunis, Tunisia, in 1986, and the doctorate. graduated from the School of Engineers of Tunis, Tunis, Tunisia, in 1994. Since 1991, he has been at the Faculty of Sciences of Tunis, Department of Physics, El-Manar UniversityFaculty of Sciences of Tunis, Tunis, Tunisia. He is also a Full Professor of Electrical Engineering and Director of Engineering at the Tunisian Ministry of Higher Education, Tunis, Tunisia. He is the author or co-author of approximately 55 articles published in scientific journals and 80 conference papers. He has also supervised more than 20 theses and 50 masters. His current research interests include smart antennas, network signal processing, multilayer structures and microwave integrated circuits.

Ridha BOUALLEGUE

Rank: Professor

Speciality: Telecommunications

Director of the Innov’COM Research Laboratory

Presentation

Ridha BOUALLEGUE is a professor at the National School of Engineers of Tunis, Tunisia (ENIT) www.enit.rnu.tn with teaching experience since 1990, on secondment since 1995 at the Ecole Supérieure des Communications de Tunis ( Sup’Com) www.supcom.mincom.tn . He is currently Director General of Technological Studies at the Ministry of Higher Education and Research. He is the founder in 2012, and the General CHAIR of the International Conference on Information Processing and Wireless Systems (IP-WiS) www.ipwis.org . He is the founder in 2012, and the president of Tasit “Tunisian Association for Scientific Innovation and Technology” www.tasit-com.org . He is the founder in 2005 and Director of the Innov’COM Research Laboratory “Innovation of COMmunicant and COoperative Mobiles Laboratory” www.innov-com.org . He is the founder in 2005 and Director of the National School of Engineers of Sousse www.eniso.rnu.tn and Director of the Higher School of Technology and Computer Science in 2010 www.esti.rnu.tn. He obtained his PhD in 1998 and his HDR in 2003 on Multi-User Detection in Next Generation Cellular Radio Systems. Its fundamental research and development on the physical layer of telecommunication systems, in particular on digital communications systems and information theory, the next generation of wireless networks, MIMO Wireless Communications technology …

http://www.supcom.mincom.tn/Fr/liste-des-enseignements_7_359_D127#.Y_Xq1HbMIpu

Research Methods in Computer Science and Software Engineering RE4001

Code : RE4001 Research Methods in Computer Science and Software Engineering

Summary :

This course introduces students to research methods in computer science and software engineering. Essential research skills for postgraduate students are covered.

CONTENT

Topics covered in the lectures include:
• Introduction to computer science and software engineering research
• Effective use of information sources • High level reading and writing skills: proposal, report, article and thesis; review and rebut • Low-level writing skills: tips and tools, bibliography management • Postgraduate life skills – time and stress management, managing your supervisor, working with others • Review of research methods in computer science and software engineering• Statistical principles• Oral presentation

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographic reference

Modality devaluation

ASSESSMENT	PERCENTAGE
Documentary survey proposal	5%
Investigation	35%
Oral presentation	10%
Verification process	20%
Final exam	30%

Learning outcomes:

After completing this course, students can:

identify a research problem.
understand and explain the range of research methods used in computer science and software engineering.
explain the relative merits of alternative research methods.
read, summarize and present related recent research articles.
write and communicate orally clearly and succinctly on research topics.
develop a research program and write a scientific article describing it.

Research methods in cybersecurity of connected objects RE4002

Code : RE4002 Research methods in cybersecurity of connected objects

Summary :

This course introduces students to research methods in the cybersecurity of connected objects. Essential research skills for postgraduate students are covered.

CONTENT

Topics covered in the lectures include:
• Introduction to IoT cybersecurity research
• Effective use of information sources • High-level reading and writing skills: proposal, report, article and thesis; review and rebut • Low-level writing skills: tips and tools, bibliography management • Postgraduate life skills – time and stress management, managing your supervisor, working with others • Review of research methods in object cybersecurity connected
• Statistical principles • Oral presentation

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographic reference

Modality devaluation

ASSESSMENT	PERCENTAGE
Documentary survey proposal	5%
Investigation	35%
Oral presentation	10%
Verification process	20%
Final exam	30%

Learning outcomes:

After completing this course, students can:

identify a research problem.
understand and explain the range of research methods used in cybersecurity of connected objects .
explain the relative merits of alternative research methods.
read, summarize and present related recent research articles.
write and communicate orally clearly and succinctly on research topics.
develop a research program and write a scientific article describing it.

RE4003 Autonomous Vehicle Navigation Research Methods

Code : RE4003 Research methods in cybersecurity of connected objects

Summary :

This course introduces students to research methods in the navigation of autonomous vehicles.

Essential research skills for postgraduate students are covered.

CONTENT

Topics covered in the lectures include:
• Introduction to autonomous vehicle navigation research.
• Effective use of information sources • High-level reading and writing skills: proposal, report, article and thesis; review and rebut • Low-level writing skills: tips and tools, bibliography management • Postgraduate life skills – time and stress management, managing your supervisor, working with others • Review of vehicle navigation research methods autonomous.
• Statistical principles • Oral presentation

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographic reference

Modality devaluation

ASSESSMENT	PERCENTAGE
Documentary survey proposal	5%
Investigation	35%
Oral presentation	10%
Verification process	20%
Final exam	30%

Learning outcomes:

After completing this course, students can:

identify a research problem.
understand and explain the range of research methods used in the navigation of autonomous vehicles .
explain the relative merits of alternative research methods.
read, summarize and present related recent research articles.
write and communicate orally clearly and succinctly on research topics.
develop a research program and write a scientific article describing it.

Research Methods in Artificial Intelligence & Big-Data RE4004

Code : RE4004 Research Methods in Artificial Intelligence & Big-Data

Summary :

This course introduces students to research methods in Artificial Intelligence & Big-Data.

Essential research skills for postgraduate students are covered.

CONTENT

References bibliographic

A handout (Course Notes) from the teacher will be available with bibliographic reference

Modality devaluation

ASSESSMENT	PERCENTAGE
Documentary survey proposal	5%
Investigation	35%
Oral presentation	10%
Verification process	20%
Final exam	30%

Learning outcomes:

After completing this course, students can:

identify a research problem.
understand and explain the range of research methods used in Artificial Intelligence & Big-Data .
explain the relative merits of alternative research methods.
read, summarize and present related recent research articles.
write and communicate orally clearly and succinctly on research topics.
develop a research program and write a scientific article describing it.

LANGUAGES

Learning modern languages is part of the training of engineering students.

The objective is to complete the technical and scientific knowledge of our students with excellent skills in French (LV1), and a good command of a second language (English LV2, or Spanish, German, Italian, Chinese, Russian, Japanese, FLE or Portuguese). A third modern language is also possible subject to level.

The compulsory teaching of at least two foreign languages is resolutely oriented towards professional life and aims in a very pragmatic way to facilitate the communication of our future engineers in an international and multicultural environment.

To obtain the diploma, a minimum score of 800 points in the TOEIC (English) is required, as well as a B2 level of the European framework of reference for languages (CEFRL) certified by the School.

For the LV1 it is possible to sanction its CEFR level by the test within the School.

ECTS credits are distributed at 50% for LV1 and 50% for LV2.

French 1 & 2

Code : LANGFR01 LANGFR02 Unit: French

Goals

Prerequisites

Elements constituent

3.1- Teachings

Elements constituent

Volume hourly

Total load

Credit

THIS

French

2- Teaching method: Lessons Integrated

3.3- Content

Three main parts will be treated: (I)-Reading: Texts of different types: Descriptive, Narrative, Informative/explanatory, Argumentative. (II) -Language: Syntax, Conjugation, Spelling; (III)- Production: – Objectively describe an object, a place, a phenomenon. – Produce a story neutral.

Explain a mechanism, a phenomenon. – Produce a text

Assessment :

40% Control Continued
60% Review

English 1; 2; 3:4& 5

Code : Eng 1 Eng 2 Eng 3 Eng 4 ENG5 Unit: English

Goals

Prerequisites

Elements constituent

3.1- Teachings

Elements constituent	Volume hourly		Total load	Credit
Elements constituent	THIS	TP	Total load	Credit
English	21	00	84	2
	21	00		2
	21	00		2
	21	00		2

2- Teaching method: Lessons Integrated

3.3- Content :

Comprehension and written expression: grammatical improvement to limit your mistakes in writing. Ability to read any type of professional document. Write and format professional documents (letters, e-mails, fax).

Oral comprehension and expression: Being comfortable during a telephone or face-to-face conversation. Listening and simulation exercises. Understand and reformulate a question, a need.

Vocabulary: Learning vocabulary specific to your activity professional.

Animate or participate in a meeting: Announce the agenda. Ability to express an idea clearly. Learn To argue, negotiate. Be in measure of lay And respond To of the issues.

Ensure a professional presentation: Present the figures of the company. Summarize a situation. Briefly describe the company and its balance sheet. Describe a product and its production process.

Assessment :

40% Continuous Control, 60% Review

Corporate Culture Management and Decision Making

Consistency between the teaching units of the teaching group:

Set of basic knowledge essential to a future engineer-manager, mainly in the field of management economics (marketing, accounting-management) and law (labour law, company law, industrial property law, standardization ).

Course and consistency with other educational groups:

The pedagogical group forms the basis of lessons in economics and management in the Engineering course.

These courses can be deepened through courses or projects during the rest of the course and the internship.

Communication Techniques and Personal Development ENT3101

Communication Techniques and Personal Development ENT3102

Goals

Prerequisites

Elements constituent

3.1- Teachings

Elements constituent

Volume hourly

Total load

Credit

THIS

Techniques of communication1

Development staff

2- Teaching method: Lessons Integrated

3.2- Content

Method of elaboration and drafting of technical texts. Presentation standards. Application to various categories of documents specific to the scientific or industrial environment. Methodical preparation of presentations of a technical and practical nature of communication skills oral.

Assessment :

40% Control Continued
60% Review

Labor law and engineering ethics ENT2102

Goals

Prerequisites

Elements constituent

3.1- Teachings

Elements constituent	Volume hourly		Total load	Credit
	THIS	TP
Labor law and engineering ethics	21	00	21	2

3.2- Responsible teacher: Mr. Walid Chriaa 3. 3- Teaching method: Integrated course 3.4- Content :

The employment contract: legal environment; hiring, working time; execution, conclusion, termination of the contract; wage representation in s the company.

Business Law: Objective Law (Basis and definition of Law, Major divisions of Law, Sources of Law, Judicial Organization) ; Subjective Right: The notion of Subjective Right (Diversity, Heritage); The regime of Subjective Rights (Acquisition of Subjective Rights, Protection of Subjective Rights); Personality (Natural Person, Legal Person). Intellectual property law: patent law, trademarks, industrial property, computer law .

Assessment :

40% Control Continued
60% Review

Bibliographies

Labor Code Tunisian

Create a startup Start01

Goals

Elements constituent

3.1- Teachings

Elements constituent	Volume hourly		Total load	Credit
	THIS	TP
Labor law and engineering ethics	21	00	21	2

3.2- Responsible teacher: Mr. Walid Chriaa 3. 3- Teaching method: Integrated course 3.4- Content :

Assessment :

40% Control Continued
60% Review

Bibliographies

Law Startup ACT Tunisia

Team building and leadership ENT2104

Learning outcomes:

Prerequisites

Components 3.1- Teachings

Elements constituent	Volume hourly		Total load	Credit
	THIS	TP
Team building and leadership	21	00	21	2

3.2- Responsible teacher: Mr. Walid Chriaa 3. 3- Teaching method: Integrated course 3.4- Content :

Introduction: HRM in its context ; Acquisition of human resources: need, selection, integration; The stimulation of human resources: classification, evaluation, remuneration; Regulation of human resources: HRIS, flexibilities, GPEC; Conclusion: policies and models in HRM.

Assessment :

40% Control Continued
60% Review

Bibliographies :

Pascal Moulette, Olivier Roques: Human resources management 2nd edition, DUNOD
Jean-Marie Peretti: Human Resources Management, 19th Edition, Vuibert

Entrepreneurship and finance for engineers ENT3105

Release date :

Learning outcomes:

Prerequisites

Elements constituent

3.1- Teachings

Elements constituent

Volume hourly

Total load

Credit

THIS

Entrepreneurship and Finance for engineers

3.2- Responsible teacher: Mr. Walid Chriaa 3. 3- Teaching method: Integrated course 3.4- Content :

Creation and management of the company; Business creation: Business definition, Role, Classification; Creation of projects: Principle of project creation, Planning, Organization, Direction and control; Management: Materials management, Human resources management, Information management; National and international calls for tenders: Administrative specifications, Technical specifications, Administrative examination and technical.
Economics and accounting: National economic activity, descriptive approach; Economic circuit and national accounting: Business, production and division of labor, Households, administration and consumption; Financial institutions and investment; THE

national economic relations with the exterior; The measurement of economic activity: national accounts ; The main approaches in contemporary economic analysis : Classical political economy, Neo-classical analysis , The “Keynesian revolution”; Salaries: The employment contract, Gross salary and net salary, Social and tax charges related to salary, Calculation of withholding tax; The account: Definition, Keeping of accounts and principle of double entry, Account and concept of account balance, Nomenclature of accounts; The journal and the general ledger: Definition, Tracking and form of the journal, Usefulness of the general ledger, Balance and accounting path, Financial statements (balance sheet, income statement, cash flow statement, notes to the statements financial).

Simulation: Presentation of the simulation: rules of the game, presentation of the fictitious company as well as its market; Constitution of the groups (3 or 4 students per group). Each group owns a company in the same industrial sector. The starting situation is strictly identical for each group. All companies are in a competitive situation on the same market; Analysis. Once the groups have been formed, the students analyze the situation. To do this, they have a lot of information about the fictitious company. The students have 2 hours to analyze the initial situation, and to make a decision of evolution; Decision. The decisions concern the various aspects of the management of the company: what investments for advertising? For equipment? Should you hire? Fire ? etc… Decisions are made at the end of each period of two hours of analysis. A period can be thought of as a year of the company’s existence. All decisions are handed over to the teacher who enters this data into the program. The results depend on the decisions made by all the groups. Once the results have been given to the students, another period of analysis begins… 9 periods can be envisaged; Findings. At the end of the 9 periods, the game ends, with leading companies on the market and others that have possibly disappeared. This is the time for the teacher to solicit students’ comments on the experience they have had and to guide them towards conclusions.
Assessment :

40% Control Continued
60% Review

Bibliographies :

Robert PAPIN, Strategy for business creation, Ed Dunod
Paul ARMAND, Henry PIRONIN, Starting a business in times of crisis, Top editions
Paul ARMAND, Create your business – a reflection in 15 steps, Top editions
PILOU, The practice of business creation, Ed Dunod

Project § Personal development:

Mini-project ENT3107

Release date :

Learning outcomes:

Various components

3.1- Teachings

Elements constituent	Volume hourly		Total load	Credit
	THIS	TP
Mini Project	00	21	21	2

2- Teaching method: Management

3.3- Content :

In groups of 4, students carry out a project on a scientific and technical subject related to their training. The work includes a targeted documentary research, an in-depth analysis of the relevant documents as well as an equation and calculation of the phenomena or processes analyzed.

Assessment :

100% Presentation (50% Report, 30% Presentation and 20% Response to issues)

PFA end of year project ENT31010

Code ENT31010

Learning objectives

At the end of the end-of-year project, the student will be able to :

Know how to lead a concrete mini project from the specification of needs to the achievement
Know how to develop a study of the existing
Know how to design and implement solutions for a problem
Know how to prepare a presentation and a

Content items

Phase 1 :
- Study of the existing and specification of needs
Phase 2 :
- Clearly set the motivations and work objectives of AFP
Phase 3 :
- Design of the general architecture of the solution considered
- Technological choices and justification
Stage 4 :
- Realization and implementation of the solution proposed
Stage 5 :
- Finalization of the drafting of the report and the presentation

Procedure

The PFA must be done within SUPTECH. The subject must be supervised by a supervisor academic.

Assessment modality

GENERAL APPRECIATION OF THE JURY (20 POINTS)

MEMBERS OF JURY	NOTE	SIGNATURE
Member 1 (……………………….)
Member 2 (…………………………)
Member3 (…………………………)

Sanction of delay For THE deposit of report (- 5 pt by day): ¨ No ¨ Yes ( …. days)) :
THE report of AFP will do part of there collection of media library SUPTECH : ¨ No ¨ Yes

Internships (Initiation & Advanced) GEC 3215 GEC 4215

Goals

Elements constituent

2.1- Teachings

Elements constituent	Volume hourly		Credit
	THIS	TP
Internship Initiation GEC 3215	1 course of 1 month		3
Internship in improvement GEC 42156	1 course of 1 month		3

Assessment :

100% Presentation (50% Report, 30% Presentation and 20% Response to issues)

Internships & End-of-study project (PFE) ENT31011

Code ENT31011 Internships & End of studies project (PFE) ENT31011

Duration : (advanced internship) + 4 months (EFP)

Level : 5th _ Year – Semester 2

Learning objectives

At the end of the graduation project, the student will be able to :

Know how to lead a concrete project from the specifications to the achievement
Highlight the skills acquired throughout the training
Know how to develop a state of the art based on bibliographical references (Publications, Articles, Chapters, books, )
Develop critical thinking and synthesis in the face of a study of the existing
Know how to design and implement solutions for a problem
Learn presentation skills oral
Learn good writing report

Content items

Phase 1 :
- State of the art of the work carried out related to the subject propose
- Synthesis of related works and possible limits of the solutions proposed
Stage 2 :
- Clearly set the motivations and work objectives of research
Phase 3 :
- Design of the general architecture of the solution considered
- Technological choices and justification
Phase 4 :
- Realization and implementation of the solution proposed
- Approval and experiments
Stage 5 :
- Finalization of the drafting of the report and the presentation

Procedure

THE EFP can to TO DO In a business Or At breast of SUPTECH. THE subject must be supervised by an academic supervisor and a supervisor professional.

Assessment modality

GENERAL APPRECIATION OF THE JURY (20 POINTS)

Member	Note
Report (Quality of the report, Form, etc.)	/5
Presentation (Quality of the presentation, Presentation of the contribution, etc.)	/5
Application (report + oral presentation + application computer science)	/5
Answers to questions (Mastery of aspects related to the subject, justifications, etc.)	/5

Bibliographic references

Guide to developing an end-of-studies project,

https://suptech.tn/uploads/GuidePFE.pdf _ _