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Graduate School Of Natural And Applied Sciences Artificial Intelligence

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 Print
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 Print
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 Print
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

0 - Etkisi Yok, 1 - En Düşük, 2 - Düşük, 3 - Orta, 4 - Yüksek, 5 - En Yüksek

1. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14Py15
Research Methods and Scientific Ethic**               
Artificial Intelligence543442544344334
Mathematical Fundamentals of Machine Learning543442544344334
Artificial Neural Network Applications 554454555344354
Intelligent Decision Support Systems555544455445555
Intelligent Optimization Methods543442544344334
Deep Learning and Applications554454555344355
Informatics in medicine433434 43544535
Radiological image analysis433434 43544535
Information System Analysis and Design543442544344334
Advanced Programming in Artificial Intelligence453552354444333
Introduction to Data Analytics555544455445555
Special Studies               
                
1. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14Py15
Project Development and Management               
Seminar               
Statistics for Machine Learning553452545344234
Numerical Methods for Data Science543452545344334
Introduction to Programming in Artificial Intelligence453552354444333
Data-driven inverse problems 543452545344334
Data-driven Dynamical Systems and Control543452545344334
Image Processing and Computer Vision554454555344355
Artificial Intelligence Applications in Biomedical Systems543442544344334
Convolutional Neural Networks554454555344355
Data Privacy and Security454545445445545
Time Series Applications in Artificial Intelligence553552454443335
Special Studies*               
                
2. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14Py15
Special Studies*               
M.Sc Thesis               
                
2. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14Py15
Special Studies*               
                
 

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