Dear Students,
You can find the 2025–2026 Fall Technical Elective Course offerings below:

1) EE4062 – Introduction to Image Processing
Instructor: Prof. Dr. Gökhan Bora Esmer
This course, based on digital signal processing, covers essential topics such as image filtering, edge detection, histogram equalization, and segmentation. It provides a critical foundation for systems that work with image data (e.g., medical, security, and remote sensing applications).
Prof. Esmer’s research areas include image processing, medical imaging, and signal processing. He has a strong background in academic publications and projects. The course offers a solid theoretical and practical basis.

---

2) EE4065 – Introduction to Embedded Image Processing
Instructor: Prof. Dr. Cem Ünsalan
This course covers the real-time implementation of image processing algorithms on embedded systems. It is directly applicable to fields like autonomous systems and industrial robotics.
Prof. Ünsalan is an expert with numerous books and publications in both image processing and embedded systems. He has experience in national and international projects. The course is a valuable opportunity that combines both hardware and software perspectives.

---

3) EE4078 – Fundamentals of Computer Networks
Instructor: Prof. Dr. Cabir Vural
Topics include network layers, protocols, routing algorithms, and internet architecture. It forms a foundation for IoT, cybersecurity, and data communication.
Prof. Vural is an expert in network security, data transmission, and distributed systems. He offers both theoretical and practical insights along with an industry-oriented approach.

---

4) EE4082 – Digital Communication
Instructor: Prof. Dr. Engin Maşazade
The course covers the fundamentals of communication systems including modulation, demodulation, channel coding, and bit error probability. It is essential for modern telecommunication systems.
Prof. Maşazade specializes in signal processing, decision-making, wireless communication, and monitoring systems. His publications and projects focus extensively on digital communication and sensor networks. The course offers both strong theoretical foundations and rich modern applications.

---

5) EE4010 – VLSI Circuit Design
Instructor: Assoc. Prof. Dr. Deniz Özenli
This course provides the necessary background for integrated circuit design, covering topics such as CMOS circuit design, layout, and timing analysis.
Dr. Özenli actively researches VLSI, ASIC/FPGA design, and low-power circuits. The course prepares students for the industry through theoretical content and simulation-based assignments.

---

6) EE4071 – Linear System Theory
Instructor: Asst. Prof. Dr. Rıfat Volkan Şenyuva
The course builds the foundation for control, signal processing, and system simulations through linear algebra and differential equation-based system theory.
Dr. Şenyuva has conducted research in system modeling, control, and signal processing. His academic expertise ensures an in-depth approach to this theoretical course.

---

7) EE4072 – Control Technology and Design
Instructor: Prof. Dr. Mustafa Onat
This course focuses on the practical design of automatic control systems. Topics include PID, state-space controllers, time delays, and hardware/software integration.
Prof. Onat brings extensive experience in control engineering and system modeling, supported by publications with an industrial focus. This makes the course strong in hands-on application and engineering design.

---

8) EE4044 – Power System Analysis I
Instructor: Prof. Dr. Osman Kılıç
Topics include power system analysis, load flow, and short-circuit calculations—core subjects in classical power engineering. It is a must for those aiming to work in energy infrastructure.
Prof. Kılıç has years of experience in high-voltage systems, power transmission, and grid analysis. He approaches classical subjects with a strong engineering perspective.

---

9) EE4026 – Biomedical Instrumentation
Instructor: Res. Asst. Dr. Kemal Bayat
The course provides essential hardware knowledge related to the acquisition and processing of biomedical signals such as ECG and EEG. It is ideal for students interested in health technologies.
Dr. Bayat works on medical imaging, signal processing, and AI-based diagnostic systems. As a young researcher, he brings cutting-edge and research-driven insights to the course.

---

10) EE4054 – Introduction to Information Systems
Instructor: Lecturer Şakir Bingöl
The course presents information systems, data management, software systems, and business processes from an engineering perspective. It includes topics such as business intelligence and digital transformation.
Şakir Bingöl has professional experience in the field. He shares applications of information systems at the intersection of business and engineering.