PSYCHOLOGY
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 :	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.

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

The teaching methods of the course are as follows:
Project
Lesson
Reading
Application
Simulation
Individual Study
Application

Weekly Detailed Course Contents

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

Sources

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

Evaluation System

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

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)	To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills.
2)	To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior.
3)	To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques).
4)	To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies).
5)	To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas.
6)	To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization.
7)	To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies.
8)	To gain the basic knowledge and skills necessary for psychological assessment and evaluation.
9)	To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes.
10)	To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society.
11)	To have problem solving skills and to be able to develop the necessary analytical approaches for this.
12)	To be able to criticize any subject in business and academic life and to be able to express their thoughts.