Teaching

Below are my current and previous courses. Syllabi, slides, and assignments will be posted here.

Current courses

Introduction to Python (Undergraduate)
- Weekly labs; final mini-project aligned with UN SDGs.
- Topics: data types, control flow, functions, files, basic data analysis, plotting.
- Materials: Class 1 ; Class 2 ;
- TP:TP 1 ; TP 2 ; TP 3 ; TP 4 [Data TP4 ] ; TP 5 [Data TP5 ]
- Corrections: TP 1 - Correction ; TP 2 - Correction ; TP 3 - Correction ; TP 4 - Correction ; TP 5 - Correction ;
- Exams:
  [Sujet 1 ]; [Sujet 2 ];
Duration Models (Graduate)
- Survival analysis: Kaplan–Meier, Cox, AFT, parametric & semi-parametric models.
- Hands-on in R with applied examples.
- Materials: [1] ; [2] ; [3]; [3 - Techinal Appendix] ; [4-Poly] [4-Template-RMD]
- Exam: [Sujet]
Scientific Writing & Public Speaking (Undergraduate)
- Structure of papers, clarity, figures/tables, presentations, audience design.
- Materials: Class 1 ; Class 2 ; ; Class 3 ; Class 4 ; Class 5 ; Class 6 Articles
Public Economics (Undergraduate)
- Efficiency & equity, taxation, public goods, externalities, social insurance.
- Materials: (PDF to be added)
Introduction to Macroeconomics (Undergraduate)
- Output, inflation, unemployment; simple models; policy debates.
- Materials: (PDF to be added)

Level	Course	Format
UG	Introduction to Python	Weekly labs + project
G	Duration Models	Lectures + applied sessions
UG	Scientific Writing & Public Speaking	Workshops + presentations
UG	Public Economics	Lectures + problem sets
UG	Introduction to Macroeconomics	Lectures + quizzes

Note

Office hours: by appointment
Email: etienne.dagorn@univ-lille.fr
Location: Lille University — LEM

Policies (short version):

Academic integrity: independent work unless collaboration is explicitly allowed.
Late work: 1 point per minute late.
Accessibility: I’m happy to arrange accommodations—please reach out early.