Offered Technical Elective Courses (Fall 2026-2027)
The technical elective courses offered this semester, their respective instructors, and related academic subfields (Anabilim Dalı) are listed below. For detailed course descriptions and learning outcomes to assist in your selection, please refer to the course cards below the table.
| Course Code | Course Title | Instructor | Academic Division |
|---|---|---|---|
| EE4018.1 | Introduction to Quantum Computing | Assoc. Prof. Dr. Özkan Karabacak | Circuits and Systems / Computing |
| EE4026.1 | Biomedical Instrumentation | Res. Asst. Dr. Fazlı Kemal Bayat | Biomedical / Electronics |
| EE4044.1 | Power System Analysis I | Prof. Dr. Osman Kılıç | Power Systems & Installations |
| EE4052.1 | Antennas and Propagation | Prof. Dr. Hüseyin Arda Ülkü | Electromagnetic Fields & Microwaves |
| EE4071.1 | Linear System Theory | Asst. Prof. Dr. Rıfat Volkan Şenyuva | Control and Command / Systems |
| EE4075.1 | Nonlinear Control Systems | Assoc. Prof. Dr. Onur Cihan | Control and Command Systems |
| EE4082.1 | Digital Communication | Prof. Dr. Engin Maşazade | Telecommunications |
| EE4099.1 | Renewable Energy Systems Design | Asst. Prof. Dr. M. Alparslan Zehir | Power Systems / Energy |
| EE4087 | Robot Learning | Prof. Dr. Cabir Vural | Signal Processing / Robotics |
Course Overview & Guidance
EE4018.1: Introduction to Quantum Computing
Instructor: Assoc. Prof. Dr. Özkan Karabacak | Division: Circuits & Systems / Computing
Why Take This Course?- Introduces fundamental concepts of next-generation quantum computing, including qubits, superposition, entanglement, and quantum gates.
- Explores quantum algorithms for solving complex optimization and cryptographic problems beyond classical computing limits.
- Provides an essential foundation for careers in quantum software development, emerging tech research, and advanced quantum platforms (e.g., Qiskit).
EE4026.1: Biomedical Instrumentation
Instructor: Res. Asst. Dr. Fazlı Kemal Bayat | Division: Biomedical / Electronics
Why Take This Course?- Covers physiological signal sensing principles and transducers for bio-potentials (ECG, EEG, EMG, blood pressure).
- Teaches hardware instrumentation design, bio-amplifiers, electrical safety standards, and physiological noise filtering.
- Crucial for engineers aiming to work in medical device design, healthcare technologies, and wearable sensors.
EE4044.1: Power System Analysis I
Instructor: Prof. Dr. Osman Kılıç | Division: Power Systems & Installations
Why Take This Course?- Develops comprehensive expertise in transmission line modeling, per-unit systems, and bus admittance formulation.
- Focuses on power flow (load flow) solutions and symmetrical short-circuit fault calculations in interconnected networks.
- Essential core knowledge for roles in transmission/distribution system operators (TSO/DSO), utilities, and generation plants.
EE4052.1: Antennas and Propagation
Instructor: Prof. Dr. Hüseyin Arda Ülkü | Division: Electromagnetic Fields & Microwaves
Why Take This Course?- Examines radiation principles, antenna radiation patterns, directivity, gain, and impedance matching techniques.
- Covers analytical and simulation tools for dipoles, microstrip patch antennas, and phased antenna arrays.
- Highly recommended for aerospace, defense industries (radar/EW), satellite links, and 5G/6G wireless communication systems.
EE4071.1: Linear System Theory
Instructor: Asst. Prof. Dr. Rıfat Volkan Şenyuva | Division: Control and Command / Systems
Why Take This Course?- Builds a rigorous mathematical foundation using state-space representations for continuous and discrete-time systems.
- Explores foundational properties such as controllability, observability, minimal realizations, and state feedback.
- Serves as the cornerstone theoretical framework for advanced control, multi-variable robotics, and graduate studies.
EE4075.1: Nonlinear Control Systems
Instructor: Assoc. Prof. Dr. Onur Cihan | Division: Control and Command Systems
Why Take This Course?- Addresses real-world nonlinearities (saturation, dead-zone, friction, hysteresis) that linear controllers fail to handle.
- Teaches phase-plane analysis, describing functions, and rigorous Lyapunov stability theories for feedback design.
- Directly applicable to aerial vehicles (UAVs), autonomous ground robots, robotic manipulators, and non-linear drives.
EE4082.1: Digital Communication
Instructor: Prof. Dr. Engin Maşazade | Division: Telecommunications
Why Take This Course?- Delivers in-depth coverage of baseband/passband digital modulation (ASK, PSK, QAM), matched filters, and receiver design.
- Provides quantitative analysis of bit-error-rate (BER) over AWGN and fading channels, channel coding, and link budgets.
- Indispensable qualification for telecom carriers, modem design, satellite communications, and modern IoT systems.
EE4099.1: Renewable Energy Systems Design
Instructor: Asst. Prof. Dr. M. Alparslan Zehir | Division: Power Systems / Energy
Why Take This Course?- Covers practical sizing, simulation, and engineering design for Photovoltaic (PV) plants, wind farms, and Battery Storage (BESS).
- Explores grid integration dynamics, microgrid optimization, inverter control, and compliance with national grid codes.
- Targeted at engineers seeking careers in clean energy transition, sustainable power engineering, and smart grid industries.
EE4087: Robot Learning
Instructor: Prof. Dr. Cabir Vural | Division: Signal Processing / Robotics
Why Take This Course?- Combines modern machine learning algorithms and reinforcement learning principles with autonomous physical robotics.
- Teaches how robots perceive environments, adapt to dynamic changes, and optimize complex trajectory tasks from data.
- Highly relevant for careers in intelligent autonomous systems, collaborative robotics, and AI-driven industrial automation.
This page updated by Electrical and Electronics Engineering on 02.09.2026 17:46:43
