Teacher(s)
Language
French
Learning outcomes
At the end of this learning unit, the student is able to : | |
| By the end of the course, students are expected to have acquired a thorough knowledge of the works studied as well as the capacity to analyse them according to the reading approaches and hypotheses covered during the course; they will have to be able to reproduce this type of analysis on other similar works. | |
Content
The course will be devoted to literature until the 20th century. After a theoretical introduction presenting the essential concepts, the course will propose different approaches as well as their criticism. We see this course as an invitation to analysis and an introduction to the fundamentals of writing a scientific paper on text analysis. The course theme changes from year to year.
Teaching methods
The course is taught by the lecturer. Nevertheless, the students are invited to take an active part in the classroom through group discussions and prior readings of the works.
Moreover, each student will be required to submit an individual assignment.
Moreover, each student will be required to submit an individual assignment.
Evaluation methods
Written exam : 50%
Individual assignment : 50% Defined preliminary interviews and preparatory work are an integral part of the evaluation process and therefore mandatory.
The presentation of both parts and achieving a minimum mark of 7/20 for each part is necessary to pass the UE. If this requirement is not met, the overall mark will be 0/20, and the part that was not presented or failed will need to be resubmitted.
Unless otherwise stated, the use of generative AI is of course forbidden for any activity subject to evaluation.
Individual assignment : 50% Defined preliminary interviews and preparatory work are an integral part of the evaluation process and therefore mandatory.
The presentation of both parts and achieving a minimum mark of 7/20 for each part is necessary to pass the UE. If this requirement is not met, the overall mark will be 0/20, and the part that was not presented or failed will need to be resubmitted.
Unless otherwise stated, the use of generative AI is of course forbidden for any activity subject to evaluation.
Other information
None
Bibliography
La bibliographie sera disponible dès le début du quadrimestre sur le Moodle du cours.
Faculty or entity
