| INDUSTRIAL 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 |
| 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. |
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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) | Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
| 2) | Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | |
| 3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective. | |
| 4) | Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively. | |
| 5) | Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering. | |
| 6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | |
| 7) | Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. | |
| 8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | 3 |
| 9) | Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. | |
| 10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | 4 |
| 11) | Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
| 12) | Develop effective and efficient managerial skills. |