Descriptif
This course takes as a starting point the fascination for crime that emerged in 19th-century France. It offers to study the ways in which this fascination contributed to the creation of a mass culture whose traces could be found in the press and literature of the time, and later on in songs, movies, detective novels, and other cultural media. In recent years, the success of Netflix documentaries such as Making a Murderer and Grégory, or podcasts like Serial, shows that there is still a strong interest in criminal stories.
Through the description and analysis of some of the most notorious crimes and criminal cases in French history, this course also aims to explore the main trends and specificities of the French judiciary and correctional systems. Analyzing particular cases means diving into a vast spectrum of documents, ranging from newspaper articles and testimonies to maps, investigation reports, archives, and photographs, among others.
Due to the variety of the material, the themes addressed in this course include history, literature, psychology, intimate writings (memoirs, confessions, letters, etc.), criminal trial transcripts, forensic science, the search for truth, the notions of good and evil, personal responsibility, and legal notions such extenuating circumstances.
After the midterm exam (Week 6), the last three sessions of the course will be dedicated to the uses and influences of crime on various media: film, literature, music, and popular culture.
All the documents for the course will be posted on Moodle.
Diplôme(s) concerné(s)
- MScT-Double Degree Data and Finance (DDDF)
- MScT-Environmental Engineering and Sustainability Management
- MScT-Internet of Things : Innovation and Management Program (IoT)
- MScT-Data Science for Business
- MScT-Data and Economics for Public Policy (DEPP)
- MScT-Cybersecurity
- MScT-Artificial Intelligence and Advanced Visual Computing
- MScT-Economics, Data Analytics and Corporate Finance
- MScT-Energy Environment : Science Technology & Management
- MScT-Economics for Smart Cities and Climate Policy
Parcours de rattachement
- MScT EDACF - Semestre 3
- MScT DSB - Semestre 1
- MScT EDACF - Semestre 1
- MScT CTD - Semestre 1
- MScT CTD - Semestre 3
- MScT EESM - Semestre 1
- MScT IOT - Semestre 3
- MScT AI-ViC - Semestre 1
- MScT IOT - Semestre 1
- MScT STEEM - Semestre 1
- MScT ESCLiP - Semestre 3
- MScT ESCLiP - Semestre 1
- MScT STEEM - Semestre 3
- MScT EESM - Semestre 3
- MScT DEPP - Semestre 1
- MScT-DDDF-S1 - MScT DDDF - Semestre 1
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Cybersecurity
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Economics, Data Analytics and Corporate Finance
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Data Science for Business
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Energy Environment : Science Technology & Management
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Artificial Intelligence and Advanced Visual Computing
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Internet of Things : Innovation and Management Program (IoT)
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Environmental Engineering and Sustainability Management
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Double Degree Data and Finance (DDDF)
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Data and Economics for Public Policy (DEPP)
Vos modalités d'acquisition :
Assessment
Presentation (10-15 min in groups of two) 30%
Midterm Exam 20%
Final Exam 40%
Class Participation 10%
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS