| ECONOMICS | |||||
| 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 | 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) | As a world citizen, she is aware of global economic, political, social and ecological developments and trends. | 2 |
| 2) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | 2 |
| 3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | 2 |
| 4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | 2 |
| 5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | 1 |
| 6) | Comprehends new ways of doing business using digital technologies. and new market structures. | 2 |
| 7) | Takes critical approach to economic and social problems and develops analytical solutions. | 1 |
| 8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | 2 |
| 9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | 2 |
| 10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | 1 |
| 11) | Generates original and innovative ideas in the works she/he contributes as part of a team. | 2 |