Objectives of Programme's Learning Outcomes

• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to electrical engineering.
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on Multimedia and Telecommunications, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, advanced electronics and advanced microelectronics, computer science, wired and wireless telecommunications, signal processing, and human-machine interfaces.
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.

Learning Outcomes of UE

To have a comprehensive coverage of wireless sensor networks; to understand the technical background of several challenges facing wireless sensor networks; to be able to use a real wireless sensor network basic configuration.

Content of UE

General presentation of wireless sensor networks: definitions, architecture, challenges ; Challenge 1: channel modeling and the ZigBee PHY (IEEE802.15.4) Challenge 2: ADC/DAC design compatible with sensor or telecom applications Challenge 3: MAC access in meshed wireless sensor networks Challenge 4: Positioning of communicating objects.

Prior Experience

Fundamentals of signal processing (quantization, Fourier transform); Fundamentals of statistics (probability density function, repartition function); Propagation fundamentals (Maxwell equations, wired channels modeling); Fundamentals of analogue and digital electronics; Analogue and digital communication principles (single and multicarrier modulations, channel capacity, spread spectrum, performance criteria (SNR, BER, MER, …)); Basics of MAC layer (CSMA/CD, CSMA/CA, …)

Type of Assessment for UE in Q1

• Written examination

Q1 UE Assessment Comments

100% for the exam

Type of Assessment for UE in Q2

• N/A

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Written examination

Q3 UE Assessment Comments

100% for the exam

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable