Master Informatique

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Voir la page complète

Goal :

After the course the student :
• have acquired knowledge in the field of transport, which is necessary to develop IT solutions
• understands moral conflicts and their underlying issues in smart mobility, is able to develop courses of action and make decisions on moral conflicts in smart mobility
• is able to assess the consequences of the use of ICT in smart mobility
• understands policies concerning equity, inclusion and sustainability in transport and mobility
• understands the difference between law and ethics

List of subjects to be presented to the students :

Transport-related subjects :

• Definitions and basic characteristics of various modes of transport
• Transport & IT development trends
• GIS in transport
• Collection of transport data
• Basics of traffic engineering Ethics and law-related subjects:
• Characteristics of Computing and Computer Ethics
• Ethics of Algorithms • Ethics of Cyber-Physical Systems
• Thinking tools for decision-making
• Professionalism and Codes of Ethics
• Ethics and Law: relation between ethics and law; whistle blowing
• Legal aspects: legal framework in mobility; personal rights and obligations
• Transport policy and equity
• Extent of transport’s influence on environment – ethical aspect

Voir la page complète

Goal : To be able to design explicit and implicit HCI for the implementation of software application for sustainable mobility

List of subjects to be presented to the students :

• Basic concept: concepts, classical HCI, methods for design and modelling
• Quality evaluation (Standards, methods, measures)
• Implicitly HCI: design, deployment & evaluation
• Sustainable Human Computer Interaction
• HCI: accessibility, usability and inclusion

Voir la page complète

Goal :

• Introduction to design principles for the development of mobile applications.
• AI in edge systems
• Design and developed tools for Edge and Mobile systems
• Power and Energy consumption reduction techniques for Edge Computing.

List of subjects to be presented to the students :

- Software and Hardware architectures of embedded systems
- Design tools : programming languages, Frameworks (TensorFlow, Caffe, etc.), Benchmarks.
- Simulation tools.
- Architectural support for ML in edge computing: GPU, FPGA and multi-cores. ML application acceleration by HW and SW.
- Use-case: Smart Homes, Drones

Voir la page complète

Goal : To provide the key concepts in terms of network planning and interoperability for service provision in the Internet context. 

List of subjects to be presented to the students : 

● Basic queueing theory.
● Markov Processes and Markov Chains
● Birth-Death Processes
● Equilibrium Solutions for M/M/-/- Queues
● Analysis of the M/G/1 queue
      - Priorities in a M/G/1
● Network of queues
● Queueing theory in practice: traffic descriptors, delay and rate
guarantees
● Network optimization
      - The shortest path problem
            ▪ The Dijkstra Algorithm
            ▪ The Ford Algorithm
            ▪ The Floyd Algorithm
      - Flow optimization
            ▪ The maximum flow problem
            ▪ The Ford-Fulkerson Algorithm
            ▪ The minimum-cost maximum-flow problem

Voir la page complète

Goal : To provide the key concepts in terms of network planning and interoperability for service provision in the Internet context. 

List of subjects to be presented to the students : 

● Introduction to networking
Layered architectures. ISO/OSI Reference Model. TCP/IP architecture. Multiplexing techniques. Circuit and packet switching.
● Data transmission
Encoding and framing techniques. Error control. Retransmission schemes. Sliding window flow control. Examples of data-link protocols.
● Multiple access networks
Classification of MAC protocols. Random access schemes: ALOHA, Slotted-Aloha. Carrier Sensing Schemes: CSMA, CSMA-CD, CSMACA. Token passing schemes. Ethernet. Protocols for wireless local and personal area networks: IEEE 802.11, Bluetooth, IEEE 802.15.
● Routing and mobility
Taxonomy of routing techniques. Routing algorithms: shortestpath routing, distance vector routing, link state routing. Mobility management issues.

Voir la page complète

Goal : Provide high quality interaction in a foreign language.

List of subjects to be presented to the students : 

● Using technical and project management vocabulary
● Writing specifications and reports
● Discussing within teams and with clients 

Voir la page complète

Goal : To provide knowledge in the field of sustainable mobility, which is necessary to develop IT solutions

List of subjects to be presented to the students : 

• Definitions
• Managing Sustainable mobility
• User-behavior
• Introduction to urban planning
• Introduction to climate issues

Voir la page complète

Goal : Discovery of diverse subjects

List of subjects to be presented to the students : Depending on the course choice by the student 

Voir la page complète

Goal : Introduction to data management, from centralized databases to distributed semantic web of data. Describe different data modelling approaches 

List of subjects to be presented to the students :

• Data storage:
- Relational databases (SQL)
- Non-Relational databases (NoSQL)
- Graph based, document based, etc.
• Introduction to distributed semantic web of data
• Information and data modeling
- Visual representation
- Languages (RDF, OWL, JSON-LD, etc.): namespaces, relationships, entities, properties.
- Data storage: Triplestore, Graph Databases, etc.
- Query languages and engines: SPARQL
• Taxonomy and Ontology
- Inference, Equivalence, Transitivity
- Examples: generic, IoT, SAREF, Smartcity, etc.
- Data models
- Data vs Metadata (data quality, enrichment, and linking)
- Attribute definition
• Data acquisition, sources and introduction to processing
- 5V's of BigData (velocity, volume, value, variety and veracity)
- Datasets vs Data Streams (timeseries, etc.)
- Mapreduce
• Good and bad modeling practices
• Initiatives on smartcity interoperability
- FIWARE, Smart Data Models, NGSI-LD ETSI standard, oneM2M
- Infrastructure federation

Voir la page complète

Goal : To model transport demand and user behaviour

List of subjects to be presented to the students :

• Transport demand analysis
• Transport supply analysis
• Interaction demand/supply
• Macro-simulation and micro-simulation
• Public Transport Mobility patterns estimation using Smart card data
• Equilibrium and Day-to-Day dynamics
• Dynamic traffic modelling
• Introduction to Real-Time Systems applied to mobility solutions

Voir la page complète

Goal : To provide the fundamental concepts and tools related to operational research and game theory which will be applied to different transport domains. Important issues such incentivation and rewarding play a key role in biasing user behaviour aiming at optimizing system operation.

List of subjects to be presented to the students :

● Optimization models: Objective function, variables and constraints.
● The linear programming model: Convex sets and linear programming algorithms.
● The simplex algorithm
- Duality / Sensitivity Analysis
● Convex functions.
● Optimality criteria: Kuhn-Tucker conditions.
● Quadratic programming.
● Geometric programming.
● Integer programming and algorithms.
● Dynamic programming.
● The transport problem (model).
● Heuristic optimization techniques.

Voir la page complète

Goal : Leveraging on the symmetric and asymmetric cryptographic algorithms this module will provide the main protocols and techniques implemented on existing and future networks. Last but not least, one course has been allocated for addressing network security management.

List of subjects to be presented to the students : 

● Introduction to modern cryptography principles
● Block and stream ciphers
● Groups, rings and finite fields.
● The AES algorithm
● Introduction to number theory: Modular arithmetics. Fermat’s and Euler’s Theorems. Discrete logarithms.
● The Diffie-Hellman protocol
● The RSA Algorithm
● Elliptic Curve Cryptography
● Hash functions: SHA standard
● Introduction to quantum cryptography

Voir la page complète

Goal : Leveraging on the symmetric and asymmetric cryptographic algorithms this module will provide the main protocols and techniques implemented on existing and future networks. Last but not least, one course has been allocated for addressing network security management.

List of subjects to be presented to the students :

● General concepts: Channel, Firewall, VPN, Proxy, etc.
● Cross-layer security: EAP, RADIUS, etc.
● Network level security: IPSec, etc.
● Transport level security: SSL/TLS, QUIC
● Application/Service level security: HTTPS,
● Wireless security: WEP, WPA
● Private networks (VLAN, VPN) 

Voir la page complète

Goal : Provide high quality interaction in a foreign language.

List of subjects to be presented to the students : 

● Using technical and project management vocabulary
● Writing specifications and reports
● Discussing within teams and with clients

Voir la page complète

Goal : To understand how the main data mining techniques and machine learning methodologies work and when to apply each of them.

List of subjects to be presented to the students :

• Clustering
• Time series algorithms
• Image recognition, computer vision
• Case study examples in traffic and transportation domain

Voir la page complète

Goal : Discovery of diverse subjects

List of subjects to be presented to the students : Depending on the course choice by the student

Voir la page complète

Goal : To understand the user’s needs, and to assure the social inclusivity, economic viability, and environmental impacts of novel mobility solutions in urban and rural context.

List of subjects to be presented to the students :

• Basics of project management for sustainable & smart mobility solutions
• Project evaluation – methods, participatory approach
• Feasibility studies of novel mobility solutions (essence, purpose structure, requirements),
• Life Cycle Sustainability Assessment – purpose and stages
• Assessment of economic viability of projects for sustainable & smart mobility solutions – criteria, methods and case studies
• Assessment of environmental impact of projects for sustainable & smart mobility solutions (GHG emissions, air quality, carbon foot print calculation’s methods, smog, noise, etc.)
• Assessment of social impact for sustainable & smart mobility solutions (criteria, social inclusion, equity analysis, user group expectations, problem of adaptability to new software, impact of quality of mode of transport on user’s behaviors)
• Awareness of carbon issues of people's mobility (Mobility Fresk workshop)

Voir la page complète

Goal : To understand how to model and simulate complex system using an agent-based approach.

List of subjects to be presented to the students : 

• Introduction to the agent approach
• Agent-Based Modeling and Simulation principles and process
• Agent-Based Modeling and Simulation tools
• Application to transport: autonomous vehicles, traffic modeling with inter-vehicles and smart infrastructure communications

Voir la page complète

Goal : To provide the fundamental concepts and tools related to operational research and game theory which will be applied to different transport domains. Important issues such incentivation and rewarding play a key role in biasing user behaviour aiming at optimizing system operation.

List of subjects to be presented to the students :

● Extensive form and normal form games.
● Two-person zero-sum games.
● Rectangular/matrix games.
● The minimax/Von Neumann Theorem.
● Two-person non-cooperative, non-zero sum games.
● Two-person cooperative, non-zero sum games.
● N-person games.
● Shapley theory for N-person games.
● Aumann-Maschler theory for N-person games.

Voir la page complète

Goal : To provide the key concepts in terms of network planning and interoperability for service provision in the Internet context. 

List of subjects to be presented to the students :

● Principles of radio communications
● Cellular networks and the path towards 6G
● Some standardization activity: IEEE 802.15.4, LoRaWAN, NBIoT
● Services technologies: Access (HTTP, MQTT, etc.) and federation, etc.
● IoT supporting mobility
      - Vehicular Communications (V2V, V2X)
      - Cooperative Intelligent Transport Systems
      - Autonomous Mobility
      - Mobility as-a-Service

Voir la page complète

Goal : Leveraging on the symmetric and asymmetric cryptographic algorithms this module will provide the main protocols and techniques implemented on existing and future networks. Last but not least, one course has been allocated for addressing network security management.

List of subjects to be presented to the students :

● Introduction to network security (risks, attacks, statistics, etc.)
● Passive vs Active attacks and security.
● Authentication and authorization: basic, OTP, OAuth, SSO, etc.
● Identity Management and key management.
● Certification.
● PKI, Blockchain/DLT.
● Attacks, pentesting, and protection measures

Voir la page complète

Goal : Provide high quality interaction in a foreign language

List of subjects to be presented to the students : 

● Using technical and project management vocabulary
● Writing specifications and reports
● Discussing within teams and with clients

Voir la page complète

Goal : To understand and to be able to use basic ideas of statistical inference in a variety of settings.

List of subjects to be presented to the students :

• Descriptive statistics
• Foundations of Statistical Inference (univariate and multivariate analysis)
• Dimensionality reduction (PCA)
• Parametric and non-parametric tests
• Resampling techniques (bootstrap)
• Stated preference survey/reveal preference survey
• Introduction with summary of what has been seen in Module 2 where there is the content about data collect and analysis.
• Big principles of supervised / unsupervised methods (maybe also semi-supervised?)
• Main types of predictive techniques (regression and classification)
• Focus on the most used predictive techniques (SVM, neural networks, kNN, probabilistic graphical models, trees, ensemble
models)

Voir la page complète

Goal : Discovery of diverse subjects

List of subjects to be presented to the students : Depending on the course choice by the student

Voir la page complète

Goal : Practice and integration of skills in the context of a long-term and team work

List of subjects to be presented to the students : The subjects can come from the students themselves, from industrial or research-related problems

Voir la page complète

Goal :

• Practice and integration of skills
• Adaptation to foreign environment

List of subjects to be presented to the students : Subjects related to the smart and sustainable mobility in company departments or research laboratories  

Voir la page complète