Vocational School Of Information Technologies | Department of Electronics and Automation | Robotics and Artificial Intelligence Program

Profile of the Programme

Robotics and Artificial Intelligence program is designed to provide a strong foundation in the rapidly developing fields of robotics and artificial intelligence. Students gain knowledge and skills in critical areas such as robot design and programming, artificial intelligence algorithms, machine learning and data analytics. In addition to theoretical courses, the program is supported by laboratory studies and projects, enabling students to develop innovative solutions to real-world problems. Graduates have the opportunity to pursue a career in various fields such as design and development of robotic systems, artificial intelligence development, R&D, automation and industrial control systems, and entrepreneurship. This associate degree program aims to raise individuals who have advanced knowledge in the field of technology and innovation and can think creatively and analytically. Students acquire the necessary equipment for a successful career in this dynamic and constantly evolving 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 120 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 bachelor's programmes in related fields of study provided that the student obtains sufficient score in the Vertical Transfer Examination administired by the Student Selection Centre or may apply to bachelor's degree completion programmes in related fields of study in Distance Education System.

Graduation Requirements

A student is required to successfully complete the designated program of courses meet a minimum of 120 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

Occupational Profiles of Graduates

● Robotics: Focusing on positions working on the design, development and maintenance of robotic systems.
● Artificial Intelligence Expert: Performing data analysis and modeling using artificial intelligence techniques such as machine learning, deep learning, natural language processing.
● Software Developer: Opting for software development positions in areas such as robot control software and implementation of artificial intelligence algorithms.
● Industrial Automation Specialist: Optimizing the production processes of factories by specializing in the design and management of automation systems.
● Robotics R&D: Turning to research and development positions to develop new robotic technologies and work on innovative projects.
● Robotics and Artificial Intelligence Consultant: Advising companies or organizations on robotics and artificial intelligence technologies.
● Entrepreneur / Entrepreneur: Establishing and managing their own robotics or artificial intelligence-based product or service companies.

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