teaching

Courses and teaching experience

Current Courses (2023-2024)

Regional Integration and EU-Asia Relations

International relations course examining regional integration processes and the evolving relationship between the European Union and Asian economies.

Regional Studies - European Union International Relations

Comprehensive analysis of the European Union’s role in international affairs, its institutional framework, and its relationships with other global actors.

France in International Affairs (法國社會與國際關係)

Course taught in French examining France’s position and influence in contemporary international relations, covering historical context, current policies, and future challenges.


Past Teaching Experience

UCLouvain (2016-2023)

Econometrics (ECGE1330)

Teaching assistant, 2017-2023

  • Time series analysis and forecasting methods
  • Panel data econometrics
  • Applied econometric modeling
  • Statistical software training (R, Stata)

Macroeconomics (ECGE1211)

Teaching assistant, 2016-2019

  • National accounts and GDP measurement
  • IS-LM framework and aggregate demand
  • Monetary and fiscal policy analysis
  • Business cycles and economic fluctuations

Probability Theory (INGE1131)

Teaching assistant, 2016-2019

  • Probability distributions and their properties
  • Random variables and expectation
  • Limit theorems and statistical applications
  • Mathematical foundations for engineers

Advanced Statistics (INGE1231)

Teaching assistant, 2016-2019

  • Hypothesis testing and confidence intervals
  • Regression analysis and model selection
  • Multivariate statistical methods
  • Applied statistical modeling for engineering

Operational Research (INGE1312)

Teaching assistant, 2016-2018

  • Linear programming and optimization
  • Network flows and graph theory
  • Decision analysis under uncertainty
  • Simulation methods

Applied Statistics (ECGE 1232)

Teaching assistant, 2016-2018

  • Descriptive statistics and data visualization
  • Statistical inference
  • ANOVA and experimental design
  • Applied regression methods

Teaching Materials

Course materials and additional resources are available on MEGA for enrolled students.

For inquiries about teaching materials or course content, please contact me at benjaminpeeters@protonmail.com.