TeachIng

ELEC365 FUNDAMENTALS OF DIGITAL COMMUNICATION 

• Gebze Technical University, Spring 2025

• Introduction: The course starts with a brief review of digital communication systems, followed by signals & systems, probability theory & random processes, and sampling theory. Then, the course continues with the pulse amplitude/width/position modulations, source coding (pulse code modulation and delta modulation), baseband communication (matched filter receiver, correlator, and baseband modulation techniques). The course also covers digital modulation techniques, such as, frequency, phase, and amplitude shift keying.

ELEC670 INTRODUCTION TO CONVEX OPTIMIZATION (Graduate)

• Gebze Technical University, Spring 2025

• Introduction: The goal of this course to help the student develop a working knowledge of convex optimization, i.e., to develop the skills and background needed to recognize, formulate, and solve convex optimization problems. This course covers the following topics: review of least-squares, convex sets and functions, convexity with reference to inequalities, linear optimization, geometric programming, duality (Lagrange dual function), norm approximation, geometric problems, algorithm (descent, Newton, interior-point). Implementation of optimization algorithm will be carried out in CVX (MATLAB based software for convex optimization). 

ELEC617 PROBABILITY THEORY AND RANDOM PROCESSES (Graduate)

• Gebze Technical University, Fall 2024, Fall 2025

• Introduction: The course covers the following topics: Fundamentals of probability theory (experiments, sample space, events, axioms of probability, joint and conditional probabilities, Bayes' theorem, discrete random variables), Random variables, Distributions, Density functions, Operations on a random variable (expected value, characteristic function, and so on), Central limit theorem, Random processes, Correlation function, Power spectral density, Random processes in linear systems, and Estimation theory. 

ELEC361 ANALOG COMMUNICATION SYSTEMS 

• Gebze Technical University, Fall 2024, Fall 2025

• Introduction: The course starts with a brief review of communication systems, followed by methods of signal representation and system analysis in both time and frequency domains. Emphasis is placed on the Fourier series and the Fourier transform representation of signals and the use of transforms in linear systems analysis. Then, the course continues with the modulation and demodulation of analog signals. In this context, amplitude modulation (AM), frequency modulation (FM), and phase modulation (PM) techniques are investigated. The course also covers modulator and demodulator structures, and AM/FM broadcasting.