TEACHING

Lecturer, Dept. of Electrical Engineering, Uppsala University:

• 1TE651: Signal Processing : 10 hp, Msc. course,~50 students, 7 times, (6 times Course Responsible)

  • Course Content: Digital frequency selective filters, Stationary stochastic processes, Auto-covariance, cross-covariance. Power spectral density, Optimal linear estimation, Wiener filter, Kalman filter, Least mean square (LMS) Algorithm, Parameter estimation, Least-square estimation, Recursive least square (RLS) Algorithm.

• Reinforcement Learning, 5hp + 3hp (optional project), PhD course, 39 students, 2020

  • Course Content: Markov Decision Processes, Dynamic Programming (Policy Evaluation,Policy Iteration, Value Iteration), Model-free RL (Monte-Carlo Learning, Temporal-Difference Methods), Model-based RL, Approximation Methods for RL, Policy Gradient Methods

• Reinforcement Learning, 4.5hp (equivalent workload), UU Open Web-based Learning initiative,  60 students, 2020 (Course Responsible)

• 1RT747/1RE745 Reinforcement Learning, 5 or 7.5 =5 +2.5hp, M.Sc. course, ~100 students, 2 times (2021,2022)

  • Course Content: Markov Decision Processes, Dynamic Programming (Policy Evaluation,Policy Iteration, Value Iteration), Model-free RL (Monte-Carlo Learning, Temporal-Difference Methods), Model-based RL, Approximation Methods for RL, Policy Gradient Methods  

• 1TE661: Signals and Systems: 5 hp, undergraduate, ~50 students, 2 times , Course Responsible

Lecturer, Dept. of Electrical Engineering, Chalmers University:

• FSSY065: Model Based Signal Processing (Ph.D. course, 1 time)

  • Course Content:   Maximum Likelihood Estimation, Least Squares, Method of Moments, Bayesian Estimation, Wiener and Kalman Filters, Minimum Variance Unbiased Estimation and the Cramer-Rao Lower Bound, Best Linear Unbiased Estimators, Introduction to Detection Theory, Likeli-hood Ratio Tests, Model Order Selection.

 Lecturer for the course projects, Dept. of Electrical Engineering, Chalmers University:

•  SSY130: Applied Signal Processing (Msc. course, 2 times)

Teaching Assistant, Dept. of Electrical Engineering, Bilkent University:

• • EEE 431: Telecommunications I (1 time)

  • MATH 250: Introduction to Probability (3 times, 1 of which as coordinator assistant)

  • EEE 202: Circuit Theory (2 times, 1 of which as coordinator assistant)

  • EEE 212: Microprocessors (4 times, 1 of which as coordinator assistant)

  • GE 301: Science, Technology, and Society (6 times, 4 of which as coordinator assistant)