2023-2024 / INFO0064-2

Embedded systems

Duration

25h Th, 20h Pr

Number of credits

 Bachelor of Science (BSc) in Computer Science3 crédits 
 Master of Science (MSc) in Electrical Engineering3 crédits 
 Master of Science (MSc) in Computer Science and Engineering3 crédits 
 Master of Science (MSc) in Computer Science and Engineering (double degree programme with HEC)3 crédits 
 Master of Science (MSc) in Computer Science3 crédits 
 Master of Science (MSc) in Computer Science (joint-degree programme with HEC)3 crédits 
 Master of Science (MSc) in Mechanical Engineering (EMSHIP+, Erasmus Mundus)3 crédits 

Lecturer

Bernard Boigelot

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Embedded systems are computer systems used as components of more complex entities. This course studies the hardware and software issues of embedded systems, focusing mainly on their real-time properties. The course studies in detail the scheduling problem for real-time tasks, the internal structure of real-time operating systems, and explains how these systems are used in actual applications. Finally, the course introduces techniques for analyzing the real-time properties of an embedded system.

Learning outcomes of the learning unit

At the end of the course, students will master the techniques and tools for developing microcontrolled embedded systems subject to hard real-time constraints, as well as the methods for guaranteeing the correct and reliable operation of such systems.

This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, IV.1, VI.1, VI.2, VI.4, VII.3, VII.5 of the MSc in biomedical engineering.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, IV.1, IV.5, VI.1, VI.2, VI.4, VII.3, VII.5 of the MSc in electrical engineering.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, IV.1, IV.3, VI.1, VI.2, VI.4, VII.3, VII.5 of the MSc in computer science and engineering.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, IV.1, IV.3, VI.1, VI.2, VI.4, VII.3, VII.5 of the MSc in mechanical engineering.

Prerequisite knowledge and skills

A basic knowledge of digital electronics and of programming techniques is needed.

Planned learning activities and teaching methods

  • Theoretical lessons.
  • Exercise and lab sessions aimed at explaining how to apply the theoretical notions to actual problems, introducing the development tools for embedded systems, and helping the students to make their practical project.
  • A practical project consisting in developing a complete embedded system. This project is carried out by groups of students in the context of the course APRI0007-1 or INFO2055-1.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Additional information:

  • The theoretical lessons are given by the professor.
  • Exercise and lab sessions are given by the professor or an assistant.
  • A lab is made available to students for working on their practical project.
  • A discussion of project ideas is organized a few weeks after the beginning of the course, in order to ensure that each group of students opts for a relevant and feasible subject.
 

Recommended or required readings

A copy of the slides used for the theoretical lessons is available on the WWW page of the course.

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )


Additional information:

A written exam (open questions) in January. A second-session written exam (open questions) in September.  Participation to the lab sessions amounts to 15% of the final result.

The practical project is evaluated in the scope of the course APRI0007-1 or INFO2055-1.

Work placement(s)

Organisational remarks and main changes to the course

A WWW page with up-to-date information about the course is available at the address: https://people.montefiore.uliege.be/boigelot/courses/embedded/

Contacts

Professor: Bernard Boigelot, bernard.boigelot@uliege.be
Teaching assistant: Thibault Gillis, t.gillis@uliege.be

Association of one or more MOOCs