MATHEMATICS (TURKISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP4221 | Multimedia Systems and Communications | Fall | 3 | 0 | 3 | 6 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN |
Course Lecturer(s): |
Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN |
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: | Digital Video Processing, A. Murat Tekalp, PEARSON Any other books related to subjects each week |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 0 | % 0 |
Laboratory | 0 | % 0 |
Application | 0 | % 0 |
Field Work | 0 | % 0 |
Special Course Internship (Work Placement) | 0 | % 0 |
Quizzes | 0 | % 0 |
Homework Assignments | 0 | % 0 |
Presentation | 0 | % 0 |
Project | 1 | % 30 |
Seminar | 0 | % 0 |
Midterms | 1 | % 30 |
Preliminary Jury | 0 | % 0 |
Final | 1 | % 40 |
Paper Submission | 0 | % 0 |
Jury | 0 | % 0 |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Workload | |
Course Hours | 14 | 42 | |
Laboratory | |||
Application | |||
Special Course Internship (Work Placement) | |||
Field Work | |||
Study Hours Out of Class | |||
Presentations / Seminar | |||
Project | 8 | 64 | |
Homework Assignments | |||
Quizzes | |||
Preliminary Jury | |||
Midterms | 1 | 18 | |
Paper Submission | |||
Jury | |||
Final | 1 | 36 | |
Total Workload | 160 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |