Language
French
Prerequisites
Knowledge of Latin is preferable (otherwise the student is oriented toward sources in Old French).
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
This seminar is designed as a preparation for the corresponding master's seminar. During the group working sessions, based on preliminary personal work, each participant presents his analysis of an aspect of the chosen theme, paying particular attention to the heuristic and critical aspects. The procedures and stages of the treatment, as well as the global synthesis and conclusions, are brought out together. The seminar will include, with this respect, an introduction to the type(s) of source(s) studied and a practical introduction to the reading of ancient writing.
Content
The seminar will be devoted to a historical theme that will form a thread running through the whole term. It will be presented by the teacher, and secondary themes linked to this thread will be chosen by the students with the teacher's agreement and studied on original/published sources, in order to train students to carry out personal research.
Teaching methods
After introductory sessions, students will carry out their research work under the supervision and with the help of the teacher and assistant. In subsequent sessions, students will present the progress of their work. A final "masterpiece" will be handed in by the students at the end of the seminar.
Evaluation methods
Grading is based on a written seminar, submitted in March (research paper of around 25 pages on an unpublished subject).
All forms of plagiarism are strictly forbidden and will be severely sanctionned
Generative artificial intelligence (AI) must be used responsibly and in accordance with academic and scientific integrity practices. Scientific integrity requires citing one's sources; therefore, the use of AI must always be disclosed. The use of artificial intelligence for tasks where it is explicitly prohibited will be considered a case of cheating.
All forms of plagiarism are strictly forbidden and will be severely sanctionned
Generative artificial intelligence (AI) must be used responsibly and in accordance with academic and scientific integrity practices. Scientific integrity requires citing one's sources; therefore, the use of AI must always be disclosed. The use of artificial intelligence for tasks where it is explicitly prohibited will be considered a case of cheating.
Online resources
Resources and seminar management via Moodle
Faculty or entity
