3 credits
30.0 h
Q2
Teacher(s)
Gosseries Axel; Pereira Olivier;
Language
English
Prerequisites
No specific prerequisites. An interest for ICT issues and a curiosity for their ethical/policy dimensions are perfectly sufficient.
Main themes
The themes change from year to year, and may include:
- net neutrality and freedom of expression
- intellectual property
- privacy
- crowdsourcing and the "sharing economy"
- cryptocurrencies
- net neutrality and freedom of expression
- intellectual property
- privacy
- crowdsourcing and the "sharing economy"
- cryptocurrencies
- - e-democracy
Aims
At the end of this learning unit, the student is able to : | |
1 | Contribution of the course to the program objectives (N°) 3.2, 3.3 4.2, 4.3 5.2, 5.5, 5.6 6.2, 6.3, 6.4 Specific learning outcomes of the course a. Disciplinary Learning Outcomes Students having successfully followed this course will be :
b. Transversal Learning Outcomes Students having successfully followed this course will be :
|
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
The content will be adapted depending on the themes investigated in the class.
Teaching methods
a. Process organization
The course will contain a mix of:
- Lectures focusing on background and methodology,
- Sessions during which students will be requested to debate and elaborate a position on a specific issue, which they will present either in writing or orally.
b. Media
Students will be provided for each specific theme with a short reading list. They will also be provided with a short general bibliography on the theme.
The course will contain a mix of:
- Lectures focusing on background and methodology,
- Sessions during which students will be requested to debate and elaborate a position on a specific issue, which they will present either in writing or orally.
b. Media
Students will be provided for each specific theme with a short reading list. They will also be provided with a short general bibliography on the theme.
Evaluation methods
The students will be graded, based on the learning outcomes described above, from oral examination and from essays that they will submit individually or in small groups. This may take the form of a short draft essay benefiting from a detailed feedback from the professors and from an oral discussion with colleagues before being handed-in in final version.
This may also take the form of a written exam during the exam session and/or of a long writing session in class during term time.
This may also take the form of a written exam during the exam session and/or of a long writing session in class during term time.
Online resources
http://moodleucl.uclouvain.be/enrol/index.php?id=4833
Bibliography
Supports de cours, ouvrages de références, ...
Faculty or entity
EPL
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science Engineering
Master [120] in Electro-mechanical Engineering
Master [120] in Mechanical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Civil Engineering
Master [120] in Electrical Engineering
Master [120] in Physical Engineering
Master [120] in Chemical and Materials Engineering
Master [120] in Political Sciences: General
Master [120] in Biomedical Engineering
Master [120] in Computer Science
Master [120] in Mathematical Engineering
Master [120] in data Science: Information technology