COMPUTER 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 | Fall 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: | Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN |
Course Lecturer(s): |
Dr. Öğr. Üyesi 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. |
Week | Subject | Related Preparation |
1) | Introduction to Multimedia Systems | |
2) | Introduction to Digital Images, Image Formats, Image Transformations | |
3) | Histograms, Normalization | |
4) | Convolution, Image Filtering Techniques | |
5) | Morphological Operations | |
6) | Blob Extraction, Blob Tracking | |
7) | Segmentation | |
8) | Image Features, Extraction and Modeling | |
9) | Introduction to Information Theory and Coding | |
10) | Image and Video Compression Techniques | |
11) | Basics of Computer Networks | |
12) | Image and Video Transmission | |
13) | Image and Video Classification | |
14) | Fundamentals of Big Data and Cloud Computing |
Course Notes / Textbooks: | Digital Video Processing, A. Murat Tekalp, PEARSON Any other books related to subjects each week |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
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 computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |
4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively. | 4 |
5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. | 3 |
6) | Ability to work effectively within and multi-disciplinary teams; individual study skills. | |
7) | Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
11) | Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions. |