Language
English
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Main themes
Any student INFO2MS, SINF2MS or SINF2M1 has the opportunity to performe an internship being involved in an "Open Source" community. The student should contribute to a Open Source project and perform development work during 140 hours.
The student must select an Open Source project and propose it to the program committee. The committee evaluates the relevance of this choice for the training of the student.
This is not the creation of a new Open Source project but active participation in an existing one.
The student must select an Open Source project and propose it to the program committee. The committee evaluates the relevance of this choice for the training of the student.
This is not the creation of a new Open Source project but active participation in an existing one.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
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Content
The choice of the Open Source project is free. However, before starting the project, the student is asked to send a short description of the chosen Open Source project and the targeted contributions to the teachers. This description will then have to be validated by the teachers.
Teaching methods
The development will take place within the Open Source community of the project chosen by the student.
Evaluation methods
At the end of the project, the student will write a report as described in the learning outcomes. This report will be sent to the teachers before the beginning of the exam session. This report will be discussed with the teachers.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] in Mathematical Engineering
Master [60] in Computer Science
Master [120] in Data Science Engineering
Master [120] in Data Science: Information Technology