This learning unit is not open to incoming exchange students!
Language
English
Evaluation methods
The assessment comprises four complementary components: work carried out during the year (40 per cent), the manuscript (30 per cent), the final presentation (10 per cent) and responses to questions asked following the presentation (20 per cent). The specific criteria assessed in each component are set out in the guidelines available on the ‘EPL2990’ Moodle platform.
In the absence of specific instructions from the supervisor regarding the use of generative artificial intelligence, the general guidelines of UCLouvain apply. Where additional specific instructions apply, these must be set out in a written document signed by the student and the lecturer.
Generally speaking, the use of generative artificial intelligence to assist with the writing of the dissertation or parts thereof, or for the production of code snippets, is not prohibited, provided that the student explicitly states how these tools have been used in the section describing the methodology employed for the work. Furthermore, where part of the text is copied from a suggestion generated by generative AI, this generative AI must be cited as the source of the text, just as one would for any quotation taken from a document.
In the absence of specific instructions from the supervisor regarding the use of generative artificial intelligence, the general guidelines of UCLouvain apply. Where additional specific instructions apply, these must be set out in a written document signed by the student and the lecturer.
Generally speaking, the use of generative artificial intelligence to assist with the writing of the dissertation or parts thereof, or for the production of code snippets, is not prohibited, provided that the student explicitly states how these tools have been used in the section describing the methodology employed for the work. Furthermore, where part of the text is copied from a suggestion generated by generative AI, this generative AI must be cited as the source of the text, just as one would for any quotation taken from a document.
Online resources
Rules and guidelines, important dates, templates and other information about master theses can be found on the dedicated Moodle web site https://moodleucl.uclouvain.be/course/view.php?id=11582
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Advanced Master in Nanotechnologies
