Advanced Electronics and Communication Technology (English) with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

AIE505

Course Name:

Image Processing

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. BEKİR TEVFİK AKGÜN

Course Lecturer(s):

Öğr.Gör. KÜBRA CENGİZ
Assoc. Prof. SHADI HILLES

Course Assistants:

Course Objective and Content

Course Objectives:	A. Explaining the Elective Course Topic B. Using Elective Course Methods / Tools C. To produce solutions in Elective Course.
Course Content:	History of games and current game trends. Basics of game design and development. Basics of game design. Simulation creation. The use of artificial intelligence in games. The place of physics and mathematics in games. Computer graphics concepts used in games. Human computer interaction in game development.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) A. Explains Elective Course Subject.
2) B. Uses Elective Course Methods / Tools.
2 - Skills
Cognitive - Practical
1) C. Elective Course produces solutions.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	History of games and current game trends	Course Notes
2)	Basics of game design and development	Course Notes
3)	Basics of game design and development	Course Notes
4)	Basics of game design	Course notes
5)	Creating simulation	Course notes
6)	Midterm	Course notes
7)	The use of artificial intelligence in games	Course notes
8)	The use of artificial intelligence in games	Course notes
9)	The place of physics and mathematics in games	Course Notes
10)	Computer graphics concepts used in games	Course notes
11)	Computer graphics concepts used in games	Course notes
12)	Human computer interaction in game development	Course notes
13)	Midterm	Course note
14)	Human computer interaction in game development	Course notes
15)	Final Exam	Course Notes

Sources

Course Notes / Textbooks:	Ders notları
References:	Course Notes

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2) Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3) Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4) Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5) Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6) Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7) Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8) Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9) A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10) Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11) Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12) Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2)	Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3)	Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4)	Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5)	Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6)	Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7)	Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8)	Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9)	A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10)	Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11)	Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12)	Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	2	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Midterms	2	70	140
Final	1	100	100
Total Workload			285