15.00 credits
Q1 and Q2
This learning unit is not open to incoming exchange students!
Language
English
Main themes
A project aimed at resolving an issue related to topics in computer science. The TFE has a technological and industrial focus (aimed at introducing students to the profession of computer scientist in industry). The cross-disciplinary skills incorporated into the TFE are linked to the targeted learning outcomes: writing, communication, planning and reasoning, and an awareness of ethical, economic and societal issues.
Learning outcomes
At the end of this learning unit, the student is able to : | |
| AA1: to demonstrate mastery of a body of knowledge and skills in computer science relevant to the topic of their final-year project; AA2 to successfully complete a computer science project of significant scope, scale and duration, applied to the development of the product, service or system covered by the final-year project (this AA applies to a final-year project with a significant ‘development/technological’ component); AA3 to organise and plan the conduct of the final year project based on the allocated resources and constraints relating to time, security (where applicable) and available skills; AA4 to communicate effectively, both orally and in writing (in French and/or English), in order to carry out the TFE; AA5 to take into account the societal impact (potential economic value and/or ethical impact and/or environmental and/or social impact). The specific AAs are defined in an annex document entitled ‘Harmonisation of TFEs’. |
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Evaluation methods
If not otherwise stated in a document signed by both the master thesis supervisor and the student, the use of generative artificial intelligence to help writing the master thesis or some of its parts, or to write (parts of) a code, is not forbidden, provided the student indicates in the methodological part of his or her master thesis how and where these tools were used. Additionally, when part of the master thesis document is copied from a proposition made by an artificial intelligence, this specific AI tool needs to be referenced as the source of the text, as should be done for an excerpt of a published text.
Online resources
Rules and guidelines, important dates, templates and other information about master theses can be found on the dedicated Moodle web site https://moodle.uclouvain.be/course/view.php?id=3236
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [60] in Computer Science
