teaching

As a student, I am deeply grateful to all my teachers who have dedicated their time and effort to support me. Honestly, without their guidance, I would not be where I am today. I am equally thankful to all my students, who have taught me valuable lessons along the way. Here I share some of my teaching materials. Please feel free to use them in any way you find helpful. While I have made every effort to ensure they are error-free, there may still be occasional mistakes. If you happen to find any, please let me know. Thank you!

East West University, Bangladesh (Lecturer)

• MAT100 - College Mathematics
  • Summer 2022
  • Fall 2023
• MA211 - Mathematics for Business and Economics - II
  • Fall 2023
• ECO104 - Statistics for Business and Economics - I
  • Fall 2022
  • Fall 2023, Course Materials
• ECO204 - Statistics for Business and Economics - II
  • Summer 2022
  • Fall 2023, Course Materials

Note: All the courses above are Bachelor level courses

Technical University of Dortmund, Germany (Instructor and Tutor / TA)

• Instructor
  • Programming with Julia (MSc. Econometrics/ Data Science)
    • Course Materials
  • Pre-course Statistics, Part - Statistical Estimation (MSc. Econometrics/ Data Science)
• Tutor of the course (taught by Professor Carsten Jentsch)

  • Asymptotic Theory, Statistical Theory (MSc. Econometrics/ Data Science)

  • Econometrics of treatment effects and policy evaluation, (MSc. Econometrics/ Data Science)

  • Seminar on Treatment Effect Models, (MSc. Statistics)

As a tutor my tasks were to prepare the problem sets, holding the tutorial sessions and also prepare the draft version of the final exam

University of Mannheim, Germany (Tutor / TA)

• Impact Evaluation and Research Design (MSc. Economics/ MA Sociology)