ELECTRICAL AND ELECTRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP4221 | Multimedia Systems and Communications | Spring | 3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assist. Prof. HASSAN IMANI |
Course Lecturer(s): |
Assist. Prof. ÖVGÜ ÖZTÜRK ERGÜN |
Recommended Optional Program Components: | None |
Course Objectives: | This course teaches fundamental topics related to multimedia systems and analysis. A top-down analysis of video processing applications, algorithms, tools, and fundamentals. Applications include digital TV, computer games, cinema special effects, 3D TV, medical imaging, and forensics. Algorithms include motion estimation, filtering and restoration, de-interlacing and enhancement, interpolation and super-resolution, stereo and 3D video processing, coding, and compression standards. |
The students who have succeeded in this course; I. To be able to use fundamental signal processing knowledge to solve problems in multimedia data processing II. To acquire knowledge about working principles of various media devices and be able to combine them to build larger multi-media systems III. To practice programming fundamentals for the design and control of digital data processing and apply them to real world problems IV. To do research on theoretical concepts behind vision, imaging, colors and video by investigating basic processing techniques in detail V. To evaluate and analyze the mechanism among multimedia devices, their communication principles, to investigate the usage of these devices, hence to analyze the needs of community VI. To know the basic concepts in major fields of applied engineering ( computer vision, communications, data mining, sensors, human-computer interaction VII. To know applications of multimedia systems, to face the challenges and obtain a global view starting from theoretical concepts to big applications used in our daily life. |
The teaching methods of the course are as follows: Project Lesson Reading Application Simulation Individual Study Application |
Week | Subject | Related Preparation |
1) | Introduction to Multimedia Systems | |
2) | Introduction to Digital Images and multimedia protocols | |
3) | Image compression and Image Formats 1 | |
4) | Image compression and Image Formats 2 | |
5) | RGB images, Color spaces, Scaling, resizing, Arithmetic and Bitwise Operations, Binarization, Adaptive Thresholding, Dilation, Erosion Convolution, Image Filtering Techniques | |
6) | Dealing with video files in OpenCV Introduction to deep learning | |
7) | 1st Midterm Exam | Exact midterm exam date will be announced |
8) | Introduction to Generative AI for text, image and video (NLP, CV) | |
9) | Introduction to Information Theory and channel Coding | |
10) | Video Compression Techniques | |
11) | Basics of Computer Networks | |
12) | Streaming (MQTT) | |
13) | Video streaming with Gstreamer | |
14) | Semester review |
Course Notes / Textbooks: | Digital Video Processing, A. Murat Tekalp, PEARSON Any other books related to subjects each week |
References: | Digital Video Processing, A. Murat Tekalp, PEARSON Her hafta konularla ilgili başka kitaplar |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 20 |
Midterms | 1 | % 40 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Project | 8 | 64 |
Midterms | 1 | 18 |
Final | 1 | 36 |
Total Workload | 160 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) | |
4) | Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | 3 |
9) | Awareness of professional and ethical responsibility. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | 4 |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |