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

  • Duration Models (Graduate)

    • Survival analysis: Kaplan–Meier, Cox, AFT, parametric & semi-parametric models.
    • Hands-on in R/Stata with applied examples.
    • Materials: (To be added)

  • Scientific Writing & Public Speaking (Undergraduate)

    • Structure of papers, clarity, figures/tables, presentations, audience design.
    • Materials: Syllabus

  • 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)

Quick overview

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

Previous courses

Logistics

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.

Resources

In French

In English