University of Yaounde II, Cameroon (2014-2018)
1- Corporate finance I: Time-value of money, capital budgeting, cost of capital, capital structure, and dividend policy fundamentals.
2- Data analysis for decision making: Descriptive statistics, regression, and Python/R visualization to turn data into managerial insight.
3- Operation and supply chain management: Forecasting, inventory control, MRP, Lean/Six Sigma, and KPIs for efficient end-to-end operations.
4- Research methodology seminar in management sciences: Research design, data collection, and mixed quantitative-qualitative methods for high-quality empirical studies.
5- Advanced quantitative methods : Econometric and optimization techniques—including time-series and panel models—for rigorous modelling and decision support.
UNIVERSITY OF OTTAWA, Canada
I- UNDERGRADUATE COURSES
1- Mathematical economics, Game Theory and Macroeconomics (2019-2021)
Organized tutorial sessions to solve practical problems.
2- Financial econometrics (2022)
Organized practical training sessions on the basics of programming with EViews.
Conducted workshops on the application of financial econometric models using EViews.
At the end of the course, all students had mastered financial econometric analysis in EViews, enabling them to succeed in their end-of-semester projects.
II- GRADUATE COURSES
1- Microeconomic Theory (2018-2024)
Organized tutorial sessions to solve practical problems.
2- Advanced Topics in Monetary Policy (2023)
Organized training sessions on how to collect macroeconomic data from various databases (e.g., Bloomberg, World Bank, and Federal Reserve Data), as well as how to clean and analyze the data.
Provided comments and suggestions on econometric modelling to enhance the research projects of students.
At the end of the course, 90% of students passed their research projects with excellent performance.
3- Research Methods (2023-2024)
Organized training sessions on empirical research methodology.
Conducted workshops on applying quantitative and qualitative research methods using Excel and NVivo.
At the end of the course, all students demonstrated a strong ability to apply research methods using Excel and NVivo, which enabled them to successfully pass their exams.