Descriptif
Description :
Through the analysis of works pertaining to various fields, genres, and time periods, this course offers to study the ways in which French writers and artists have represented themselves throughout the centuries. Today, especially due to the omnipresence of social networks, the writing and the representation of the self have found new ways of expression. As such, they invite us to revisit some prominent literary and artistic works from the past and to wonder about potential continuities or discontinuities regarding the methods, the doubts, and the questions that guided their authors throughout the construction of their own image for posterity.
In this class, students will not only analyze and discuss all sorts of documents--paintings, photographs, literary excerpts, selfies, press articles and cartoons, scholarly articles, movies--but they will also reflect, both orally and through written assignments, on their own approach to self-representation. Consequently, active participation to class discussions is a key component of this course.
Diplôme(s) concerné(s)
- MScT-Double Degree Data and Finance (DDDF)
- MScT-Internet of Things : Innovation and Management Program (IoT)
- MScT-Energy Environment : Science Technology & Management
- MScT-Data and Economics for Public Policy (DEPP)
- MScT-Cybersecurity (CyS)
- MScT-Artificial Intelligence and Advanced Visual Computing
- MScT-Economics for Smart Cities and Climate Policy
- MScT-Environmental Engineering and Sustainability Management
- MScT-Data Science for Business
- MScT-Economics, Data Analytics and Corporate Finance
Parcours de rattachement
- Data Science for Business - MScT 1A
- Artificial Intelligence and Advanced Visual Computing - MScT 1A
- Cybersecurity (CyS) - MScT 1A
- Economics, Data Analytics and Corporate Finance - MScT 1A
- Energy Environment : Science Technology & Management (STEEM) - MScT 1A
- Internet of Things : Innovation and Management Program (IoT) - MScT 1A
- Environmental Engineering and Sustainability Management - MScT 2A
- Cybersecurity (CyS) - MScT 2A
- Artificial Intelligence and Advanced Visual Computing - MScT 2A
- Energy Environment : Science Technology & Management (STEEM) - MScT 2A
- Economics for Smart Cities and Climate Policy - MScT 2A
- Economics for Smart Cities and Climate Policy - MScT 1A
- Internet of Things : Innovation and Management Program (IoT) - MScT 2A
- Environmental Engineering and Sustainability Management - MScT 1A
- Economics, Data Analytics and Corporate Finance - MScT 2A
- MScT DEPP - Semestre 2
- MScT-DDDF-S1 - MScT DDDF - Semestre 2
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Cybersecurity (CyS)
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Artificial Intelligence and Advanced Visual Computing
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Environmental Engineering and Sustainability Management
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Energy Environment : Science Technology & Management
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Data Science for Business
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics, Data Analytics and Corporate Finance
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Internet of Things : Innovation and Management Program (IoT)
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Double Degree Data and Finance (DDDF)
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Data and Economics for Public Policy (DEPP)
Vos modalités d'acquisition :
Grades
Midterm Exam 30%
Final Exam 30%
Oral Presentation 30%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.