This learning unit is not open to incoming exchange students!
Teacher(s)
Lefer Marie-Aude (coordinator); Vrancx Marlène (coordinator);
Language
French
Main themes
The dissertation takes the form of a piece of (applied) research on a defined problem in interpretation or interpretology, accompanied by a critical reflection.
Learning outcomes
At the end of this learning unit, the student is able to : | |
This unit contributes to the acquisition and development of the following learning outcomes, as assigned to the Master's degree in translation: 5.1, 5,2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 5.10 |
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Evaluation methods
The thesis (written work + oral defense) is evaluated by at least two evaluators ( supervisor, possible co-supervisors, reader).
The student must submit his/her topic for approval to the promoter.
The student is required to defend his/her work orally (publicly) before a jury composed of the dissertation evaluators and a chairperson.
The final grade will consist of the two integrated parts (written work + oral defense). The presentation of these two parts is mandatory.
The final grade is a weighted average:
- Written work: 90% of the final grade
- Oral defense: 10% of the final grade
An unjustified absence from the oral defense will result in a failure for the final grade of the thesis.
The practical and precise instructions for the written work and the oral defense will be communicated on Moodle and by email.
The work to be presented or submitted as part of the thesis is personal work that will reflect the student's skills. The references used will be mentioned in an appropriate way. Generative artificial intelligence (AI) must be used responsibly and in accordance with the practices of academic and scientific integrity. As scientific integrity requires that sources be cited, the use of AI must always be reported. The use of artificial intelligence for tasks where it is explicitly forbidden will be considered as cheating.
The evaluation procedures are identical for the June, August/September and January sessions.
The student must submit his/her topic for approval to the promoter.
The student is required to defend his/her work orally (publicly) before a jury composed of the dissertation evaluators and a chairperson.
The final grade will consist of the two integrated parts (written work + oral defense). The presentation of these two parts is mandatory.
The final grade is a weighted average:
- Written work: 90% of the final grade
- Oral defense: 10% of the final grade
An unjustified absence from the oral defense will result in a failure for the final grade of the thesis.
The practical and precise instructions for the written work and the oral defense will be communicated on Moodle and by email.
The work to be presented or submitted as part of the thesis is personal work that will reflect the student's skills. The references used will be mentioned in an appropriate way. Generative artificial intelligence (AI) must be used responsibly and in accordance with the practices of academic and scientific integrity. As scientific integrity requires that sources be cited, the use of AI must always be reported. The use of artificial intelligence for tasks where it is explicitly forbidden will be considered as cheating.
The evaluation procedures are identical for the June, August/September and January sessions.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Interpreting
