Faculty Of Computer And Information Technologies | Artificial Intelligence and Machine Learning

Profile of the Programme

The Department of Artificial Intelligence and Machine Learning aims to provide students with in-depth knowledge and skills in artificial intelligence and machine learning. This program provides students with a strong engineering foundation and supports their expertise in modern artificial intelligence technologies and applications. The educational process equips students with both theoretical and practical skills while reinforcing their sense of professional, social, and ethical responsibility. Furthermore, students are encouraged to be sensitive to national and global issues and are equipped with advanced written and oral communication skills. The program closely monitors developments in artificial intelligence and machine learning and continuously updates its educational content accordingly. This approach equips graduates with the ability to develop innovative artificial intelligence solutions and meet the needs of the industry.

Programme Director & ECTS Coord.

General admission requirements stated under Info on the Institution on this website are being applied to start this programme.

Recognition of Prior Learning

Depending on the degrees awarded, theoretical or practical courses taken as part of a degree (completed or not completed) may lead to recognition of these as prior learning by the programme administration. The students who have taken courses in another institution in Turkey or abroad can ask for credit and grade transfer. The executive boards of relevant programme will decide on the courses to be transferred covering students' entire academic program once and for all with the condition that the request for transfer be made within the first week of the academic year, the requests cannot be repeated.

Qualification Requirements and Regulations

A student is required to successfully complete the designated program of courses meet a minimum of 240 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

Access to Further Studies

May apply to master's or doctorate programmes in any field or proficiency in fine arts programmes

Graduation Requirements

A student is required to successfully complete the designated program of courses meet a minimum of 240 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

Occupational Profiles of Graduates

Students graduating from the Artificial Intelligence and Machine Learning program typically focus their career goals on AI and machine learning expertise, finding work opportunities in large technology companies, financial institutions, and many different sectors, including education, healthcare, electronics, and automotive, as:

Business analyst,
Intelligent systems specialist,
Data mining and algorithm specialist,
Artificial intelligence design engineer,
Information technologies specialist,
Research scientist,
Data scientist.

Examination Regulations, Assessment and Grading

A variety of assessment methods such as mid-term(s), assignment(s), exercise(s), project(s), practice(s), and a final exam are implemented in the programme. Assessment methods may include classical test(s), multiple-choice test(s), homework(s), performance evaluation(s), and product evaluation(s). In order to graduate from the programme, cumulative GPA must be minimum 2.00. A course grade is constituted by evaluating the above stated elements and given by using letters. Letter grades and their associated coefficients are as follows;

Grade	Coefficient
AA	4,0
AB	3,7
BA	3,3
BB	3,0
BC	2,7
CB	2,3
CC	2,0
CD	1,7
DC	1,3
DD	1,0
FF	0,0