Due to the COVID-19 crisis, the information below is subject to change,
in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Riviere Etienne;
Language
French
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
- Levels of abstraction in computer systems
- Processor architectures
- Machine language, assembly language and C language
- Roles and functions of operating systems
- Using the features of an operating system in applications
- Processes and threads: concepts, problems and solutions
- Multi-processor systems
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
Given the learning outcomes of the "Bachelor in Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
Given the learning outcomes of the "Bachelor in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
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Content
The course presents the organization and the use of computer systems, and the principles and implementation of operating systems.
Teaching methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
- lectures;- online exercises and self-training using the Inginious platform;
- exercices and work sessions with tutors.
Some of these activities may be organized online.
Evaluation methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
January:- participation in mandatory activities (10%)
- continuous evaluation, mini projects (30%)
- exam (60%)
September:
- participation in mandatory activities -- maintained from January session, cannot be redone (10%)
- personnal project (30%)
- exam (60%)
Formative activities may become certificative and cover a part to all of the weight of the exam if the circumstances impose it.
The professor may ask for an additional oral exam to the exam, including but not limited to the following circumstances: technical issues, suspicion of irregularities.
Online resources
A link to the online syllabus is available on the Moodle page of the course.
Teaching materials
- LINFO1252 open source Syllabus
Faculty or entity
INFO
Force majeure
Teaching methods
All covered material is available on the online Syllabus.
Evaluation methods
An alternative exam using an adapted modality will be simultaneously offered to students who can prove before the exam their impossibility to participate to the exam on site. This impossiblity must be attested, for instance with a quarantine certificate or a "formulaire retour" of the Foreign Affairs SPF. Students have the obligation to notify the professor at least 48 hours in advance of the exam if the quarantine situation started earlier than 48 hours before the exam. A student who would report a quarantine situation to the professor but who would not send her or his certificate to the EPL secretary within 24 hours after the end of the exam will see her or his alternative exam cancelled and ignored (i.e., she or he will be considered as not attending the exam on site). The alternative exam will be on the same material as covered by the main exam, and will take place under a form compatible with the quarantine situation of the student. All students who undergo an alternative exam will also be interrogated orally.
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science : Statistic
Specialization track in Computer Science
Minor in Engineering Sciences: Computer Sciences (only available for reenrolment)