Course Detail
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
MULTIMEDIA PROCESSING and COMMUNICATIONS | COE4167990 | Fall Semester | 3+0 | 3 | 6 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Closed |
Course Coordinator | Prof.Dr. Bahadır Kürşat GÜNTÜRK |
Name of Lecturer(s) | |
Assistant(s) | Aftab Ahmed |
Aim | Representation, compression, storage, transmission and processing of multimedia. Signal representation of data and audio, speech, image, graphics, video signals. Multimedia compression techniques and standards. Content-based image and video indexing and retrieval. Fundamental technologies for multimedia communications and networking. Streaming audio and video over Internet and wireless/mobile networks. Error resilient communications. Internet multimedia content distribution. |
Course Content | This course contains; Introduction to multimedia systems,Multimedia data / information representation and processing (Graphics and image data formats ),Fundamental concepts in video / Basics of digital audio
,Multimedia data compression (Lossless and lossy compression)
,Text and image compression / Video compression techniques and standards
,Audio/speech compression techniques/standards ,Multimedia network communications and applications,Midterm,Multimedia over IP and quality of service (QoS) ,Wireless/Mobile networks,Multimedia content distribution (Content delivery networks)
,Overlay and peer-to-peer networks,Multimedia information sharing and retrieval,Advanced Topics: Current state of technology in multimedia processing and communications. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Know the basics of sampling theory, quantization, and coding | 12, 6, 9 | A, E, G |
Apply transformations/mappings and compute transform coefficients | 12, 6, 9 | A, E, G |
Compute entropy, bitrate, and PSNR | 12, 6, 9 | A, E, G |
Recognize multimedia data formats and their application areas | 12, 6, 9 | A, E |
Know the current trends and needs in multimedia coding and communication | 12, 16, 9 | E |
Apply entropy coding techniques to various types of data | 12, 6, 9 | A, E, G |
Integrate different coding tools and design compression algorithms | 12, 6, 9 | A, E |
Design error detection methods for reliable communication | 12, 6, 9 | A, E, G |
Recognize multimedia communication protocols in internet and wireless/mobile networks | 12, 6, 9 | A, E |
Analyze alternative approaches for multimedia content distribution | 12, 6, 9 | A, E |
Implement multimedia processing, transformation, coding and transmission algorithms in MATLAB/Python | 12, 14, 6, 9 | E, G |
Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Introduction to multimedia systems | |
2 | Multimedia data / information representation and processing (Graphics and image data formats ) | |
3 | Fundamental concepts in video / Basics of digital audio
| |
4 | Multimedia data compression (Lossless and lossy compression)
| |
5 | Text and image compression / Video compression techniques and standards
| |
6 | Audio/speech compression techniques/standards | |
7 | Multimedia network communications and applications | |
8 | Midterm | |
9 | Multimedia over IP and quality of service (QoS) | |
10 | Wireless/Mobile networks | |
11 | Multimedia content distribution (Content delivery networks)
| |
12 | Overlay and peer-to-peer networks | |
13 | Multimedia information sharing and retrieval | |
14 | Advanced Topics: Current state of technology in multimedia processing and communications | |
Resources |
Ze-Nian Li, Mark S Drew, J. Liu, Fundamentals of Multimedia, 2nd ed., Springer, 2014. |
Fred Halsall, Multimedia Communications: Applications, Networks, Protocols and Standards, Addison-Wesley, 2001. Multimedia over IP and Wireless Networks: Compression, networking, and Systems, by Mihaela van der Schaar. And Philip Chou, Academic Press, 2007. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | 1. An ability to apply knowledge of mathematics, science, and engineering | | | | | |
2 | 2. An ability to identify, formulate, and solve engineering problems | | | | | X |
3 | 3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | | | | X | |
4 | 4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | | | | X | |
5 | 5. An ability to design and conduct experiments, as well as to analyze and interpret data | | | | | |
6 | 6. An ability to function on multidisciplinary teams | | | X | | |
7 | 7. An ability to communicate effectively | | | | | |
8 | 8. A recognition of the need for, and an ability to engage in life-long learning | | | X | | |
9 | 9. An understanding of professional and ethical responsibility | | | | | |
10 | 10. A knowledge of contemporary issues | | | | | |
11 | 11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | | | | | |
Assessment Methods
Contribution Level | Absolute Evaluation |
Rate of Midterm Exam to Success | | 30 |
Rate of Final Exam to Success | | 70 |
Total | | 100 |
ECTS / Workload Table |
Activities | Number of | Duration(Hour) | Total Workload(Hour) |
Course Hours | 14 | 3 | 42 |
Guided Problem Solving | 0 | 0 | 0 |
Resolution of Homework Problems and Submission as a Report | 8 | 8 | 64 |
Term Project | 14 | 2 | 28 |
Presentation of Project / Seminar | 0 | 0 | 0 |
Quiz | 0 | 0 | 0 |
Midterm Exam | 1 | 20 | 20 |
General Exam | 1 | 30 | 30 |
Performance Task, Maintenance Plan | 0 | 0 | 0 |
Total Workload(Hour) | 184 |
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(184/30) | 6 |
ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
MULTIMEDIA PROCESSING and COMMUNICATIONS | COE4167990 | Fall Semester | 3+0 | 3 | 6 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Closed |
Course Coordinator | Prof.Dr. Bahadır Kürşat GÜNTÜRK |
Name of Lecturer(s) | |
Assistant(s) | Aftab Ahmed |
Aim | Representation, compression, storage, transmission and processing of multimedia. Signal representation of data and audio, speech, image, graphics, video signals. Multimedia compression techniques and standards. Content-based image and video indexing and retrieval. Fundamental technologies for multimedia communications and networking. Streaming audio and video over Internet and wireless/mobile networks. Error resilient communications. Internet multimedia content distribution. |
Course Content | This course contains; Introduction to multimedia systems,Multimedia data / information representation and processing (Graphics and image data formats ),Fundamental concepts in video / Basics of digital audio
,Multimedia data compression (Lossless and lossy compression)
,Text and image compression / Video compression techniques and standards
,Audio/speech compression techniques/standards ,Multimedia network communications and applications,Midterm,Multimedia over IP and quality of service (QoS) ,Wireless/Mobile networks,Multimedia content distribution (Content delivery networks)
,Overlay and peer-to-peer networks,Multimedia information sharing and retrieval,Advanced Topics: Current state of technology in multimedia processing and communications. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Know the basics of sampling theory, quantization, and coding | 12, 6, 9 | A, E, G |
Apply transformations/mappings and compute transform coefficients | 12, 6, 9 | A, E, G |
Compute entropy, bitrate, and PSNR | 12, 6, 9 | A, E, G |
Recognize multimedia data formats and their application areas | 12, 6, 9 | A, E |
Know the current trends and needs in multimedia coding and communication | 12, 16, 9 | E |
Apply entropy coding techniques to various types of data | 12, 6, 9 | A, E, G |
Integrate different coding tools and design compression algorithms | 12, 6, 9 | A, E |
Design error detection methods for reliable communication | 12, 6, 9 | A, E, G |
Recognize multimedia communication protocols in internet and wireless/mobile networks | 12, 6, 9 | A, E |
Analyze alternative approaches for multimedia content distribution | 12, 6, 9 | A, E |
Implement multimedia processing, transformation, coding and transmission algorithms in MATLAB/Python | 12, 14, 6, 9 | E, G |
Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Introduction to multimedia systems | |
2 | Multimedia data / information representation and processing (Graphics and image data formats ) | |
3 | Fundamental concepts in video / Basics of digital audio
| |
4 | Multimedia data compression (Lossless and lossy compression)
| |
5 | Text and image compression / Video compression techniques and standards
| |
6 | Audio/speech compression techniques/standards | |
7 | Multimedia network communications and applications | |
8 | Midterm | |
9 | Multimedia over IP and quality of service (QoS) | |
10 | Wireless/Mobile networks | |
11 | Multimedia content distribution (Content delivery networks)
| |
12 | Overlay and peer-to-peer networks | |
13 | Multimedia information sharing and retrieval | |
14 | Advanced Topics: Current state of technology in multimedia processing and communications | |
Resources |
Ze-Nian Li, Mark S Drew, J. Liu, Fundamentals of Multimedia, 2nd ed., Springer, 2014. |
Fred Halsall, Multimedia Communications: Applications, Networks, Protocols and Standards, Addison-Wesley, 2001. Multimedia over IP and Wireless Networks: Compression, networking, and Systems, by Mihaela van der Schaar. And Philip Chou, Academic Press, 2007. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | 1. An ability to apply knowledge of mathematics, science, and engineering | | | | | |
2 | 2. An ability to identify, formulate, and solve engineering problems | | | | | X |
3 | 3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | | | | X | |
4 | 4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | | | | X | |
5 | 5. An ability to design and conduct experiments, as well as to analyze and interpret data | | | | | |
6 | 6. An ability to function on multidisciplinary teams | | | X | | |
7 | 7. An ability to communicate effectively | | | | | |
8 | 8. A recognition of the need for, and an ability to engage in life-long learning | | | X | | |
9 | 9. An understanding of professional and ethical responsibility | | | | | |
10 | 10. A knowledge of contemporary issues | | | | | |
11 | 11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | | | | | |
Assessment Methods
Contribution Level | Absolute Evaluation |
Rate of Midterm Exam to Success | | 30 |
Rate of Final Exam to Success | | 70 |
Total | | 100 |
Numerical Data
Ekleme Tarihi: 09/10/2023 - 10:50Son Güncelleme Tarihi: 09/10/2023 - 10:51
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