Qualification Awarded

A Master's degree in Artificial Intelligence is given to students who have taken all the compulsory and elective courses that must be taken within the curriculum, and have successfully completed the seminar and master's thesis.

Specific Admission Requirements

1 - Graduate Degree in acceptable fields, 2 - Sufficient score from the National Academic Staff & Graduate Education Exam (at least 70) (ALES), 3 - English proficiency (at least taking 55 from YDS)

Qualification Requirements

In order to complete the program, at least 7 courses from the Artificial Intelligence graduate course list must be successfully given (at least CC), and a seminar and thesis must be completed. The master's program consists of compulsory (specialty course, seminar, thesis) and elective courses. The total ECTS credits of the program are 120. Completion of the master's program with a thesis is a total of four semesters, two semesters of which are lectures and two semesters are thesis. If the student fulfills the requirements for the master's program with a thesis, he can graduate in three semesters. At most two of the courses to be taken by the student can be selected from the undergraduate courses, provided that they were not taken during the undergraduate education. A student in the master's program has to write the results of his thesis in accordance with the thesis writing rules of the institute of science and defend his/her thesis orally in front of the jury.

Recognition of Prior Learning

History

Profile of the Programme

Program Outcomes

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Exam Regulations & Assesment & Grading

Exams, homework, projects, applications, presentations, thesis

Graduation Requirements

The programme consists of a minimum of 7 courses delivered within the graduate programme of the department and in related fields, one seminar course, and thesis, with a minimum of 21 local credits. Students must register for thesis work and the Specialization Field course offered by his supervisor every semester following the semester, in which the supervisor is appointed. A student who has completed work on the thesis within the time period, must write a thesis, using the data collected, according to the specifications of the Graduate School Thesis Writing Guide. The thesis must be defended in front of a jury.

Occupational Profiles of Graduates

Access to Further Studies

Mode of Study

Formal Education

Programme Director

ECTS Coordinator

Course Structure Diagram with Credits

1. Year - 1. Term

Course Unit Code	Course Unit Title	Course Type	Theory	Practice	ECTS
FBE5090	Research Methods and Scientific Ethic**	Required	2	0	2
YZ5501	Artificial Intelligence	Elective	3	0	4
YZ5503	Mathematical Fundamentals of Machine Learning	Elective	3	0	6
YZ5505	Artificial Neural Network Applications	Elective	3	0	6
YZ5507	Intelligent Decision Support Systems	Elective	3	0	6
YZ5509	Intelligent Optimization Methods	Elective	3	0	6
YZ5511	Deep Learning and Applications	Elective	3	0	6
YZ5513	Informatics in medicine	Elective	3	0	6
YZ5515	Radiological image analysis	Elective	3	0	6
YZ5517	Information System Analysis and Design	Elective	3	0	6
YZ5519	Advanced Programming in Artificial Intelligence	Elective	3	0	6
YZ5521	Introduction to Data Analytics	Elective	3	0	6
YZ5701	Special Studies	Required	4	0	6

1. Year - 2. Term

Course Unit Code	Course Unit Title	Course Type	Theory	Practice	ECTS
FBE5500	Project Development and Management	Elective	3	0	6
YZ5090	Seminar	Required	0	2	6
YZ5502	Statistics for Machine Learning	Elective	3	0	6
YZ5504	Numerical Methods for Data Science	Elective	3	0	6
YZ5506	Introduction to Programming in Artificial Intelligence	Elective	3	0	6
YZ5508	Data-driven inverse problems	Elective	3	0	6
YZ5510	Data-driven Dynamical Systems and Control	Elective	3	0	6
YZ5512	Image Processing and Computer Vision	Elective	3	0	6
YZ5514	Artificial Intelligence Applications in Biomedical Systems	Elective	3	0	6
YZ5516	Convolutional Neural Networks	Elective	3	0	6
YZ5518	Data Privacy and Security	Elective	3	0	6
YZ5520	Time Series Applications in Artificial Intelligence	Elective	3	0	6
YZ5702	Special Studies*	Required	4	0	6

2. Year - 1. Term

Course Unit Code	Course Unit Title	Course Type	Theory	Practice	ECTS
YZ5703	Special Studies*	Required	4	0	6
YZ5801	M.Sc Thesis	Required	0	0	24

2. Year - 2. Term

Course Unit Code	Course Unit Title	Course Type	Theory	Practice	ECTS	Print
YZ5704	Special Studies*	Required	4	0	6

Evaluation Questionnaires

Course & Program Outcomes Matrix

1. Year - 1. Term

Ders Adı	Py1	Py2	Py3	Py4	Py5	Py6	Py7	Py8	Py9	Py10	Py11	Py12	Py13	Py14	Py15
Research Methods and Scientific Ethic**
Artificial Intelligence	5	4	3	4	4	2	5	4	4	3	4	4	3	3	4
Mathematical Fundamentals of Machine Learning	5	4	3	4	4	2	5	4	4	3	4	4	3	3	4
Artificial Neural Network Applications	5	5	4	4	5	4	5	5	5	3	4	4	3	5	4
Intelligent Decision Support Systems	5	5	5	5	4	4	4	5	5	4	4	5	5	5	5
Intelligent Optimization Methods	5	4	3	4	4	2	5	4	4	3	4	4	3	3	4
Deep Learning and Applications	5	5	4	4	5	4	5	5	5	3	4	4	3	5	5
Informatics in medicine	4	3	3	4	3	4		4	3	5	4	4	5	3	5
Radiological image analysis	4	3	3	4	3	4		4	3	5	4	4	5	3	5
Information System Analysis and Design	5	4	3	4	4	2	5	4	4	3	4	4	3	3	4
Advanced Programming in Artificial Intelligence	4	5	3	5	5	2	3	5	4	4	4	4	3	3	3
Introduction to Data Analytics	5	5	5	5	4	4	4	5	5	4	4	5	5	5	5
Special Studies

1. Year - 2. Term

Ders Adı	Py1	Py2	Py3	Py4	Py5	Py6	Py7	Py8	Py9	Py10	Py11	Py12	Py13	Py14	Py15
Project Development and Management
Seminar
Statistics for Machine Learning	5	5	3	4	5	2	5	4	5	3	4	4	2	3	4
Numerical Methods for Data Science	5	4	3	4	5	2	5	4	5	3	4	4	3	3	4
Introduction to Programming in Artificial Intelligence	4	5	3	5	5	2	3	5	4	4	4	4	3	3	3
Data-driven inverse problems	5		3	4	5	2	5	4	5	3	4	4	3	3	4
Data-driven Dynamical Systems and Control	5	4	3	4	5	2	5	4	5	3	4	4	3	3
Image Processing and Computer Vision	5	5	4	4	5	4	5	5	5	3	4	4	3	5	5
Artificial Intelligence Applications in Biomedical Systems	5	4	3	4	4	2	5	4	4	3	4	4	3	3	4
Convolutional Neural Networks	5	5	4	4	5	4	5	5	5	3	4	4	3	5	5
Data Privacy and Security	4	5	4	5	4	5	4	4	5	4	4	5	5	4	5
Time Series Applications in Artificial Intelligence	5	5	3	5	5	2	4	5	4	4	4	3	3	3	5
Special Studies*

2. Year - 1. Term

Ders Adı	Py1	Py2	Py3	Py4	Py5	Py6	Py7	Py8	Py9	Py10	Py11	Py12	Py13	Py14	Py15
Special Studies*
M.Sc Thesis

2. Year - 2. Term

Ders Adı	Py1	Py2	Py3	Py4	Py5	Py6	Py7	Py8	Py9	Py10	Py11	Py12	Py13	Py14	Py15
Special Studies*