CMP4221 Multimedia Systems and CommunicationsBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

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.

Basic information

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 : 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.

Learning Outcomes

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.

Course Content

Weekly Detailed Course Contents

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

Sources

Course Notes / Textbooks: Digital Video Processing, A. Murat Tekalp, PEARSON
Any other books related to subjects each week
References:

Evaluation System

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

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Project 8 64
Midterms 1 18
Final 1 36
Total Workload 160

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.