Academic Unit Presenting the Program | Robotics and Artificial Intelligence Pr. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Program Director | Öğr. Gör. Zafer BAYRAM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Program Type | Associate Degree Program | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Level of Degree Earned | Associate Degree Programme | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Degree Earned | Robotics and Artificial Intelligence Programme | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Education Type | Tam Zamanı | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Registration Acceptance Conditions | Graduated from Secondary Education | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recognition of Prior Learning | The process of recognising prior learning in Turkish Higher Education Institutions is still in its early stages. For this reason, the recognition of prior learning has not been fully initiated in all programmes of Tekirdağ Namik Kemal University. However, exemption exams are organised at the beginning of each academic year for the compulsory foreign language courses in the curricula of the departments. Students who have completed the learning process of these courses on their own or who think that they have achieved the learning outcomes in these courses in different ways have the right to take these exams. Students who are successful in the exam are exempted from the relevant course in the syllabus. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Degree Requirements and Rules | The students studying in this undergraduate program are required to have a Cumulative Grade Points Average (Cum.GPA) of not less than 2.00/4.00 and have completed all the courses with at least a letter grade of DD/S in the program in order to graduate. The minimum number of ECTS credits required for graduation is 120. It is also mandatory for the students to complete their compulsory internship in a specified duration and quality. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Program Profile | The aim of the Robotics and Artificial Intelligence Programme is to train qualified technical staff who can combine theoretical knowledge with practical skills in the fields of artificial intelligence, robotic systems and automation technologies, integrate into digital transformation processes, think analytically and produce solutions. The programme aims to contribute to regional development and to create a human resource that can direct technological developments on a national scale through individuals who can adapt to Industry 4.0 and advanced production technologies, have lifelong learning awareness, and observe professional ethical values. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Occupational Profiles of Graduates | Our Graduates, They can work as technical staff or experts in the fields of design, integration and programming of robotic systems., They can work in the development of artificial intelligence-supported systems, data analysis, machine learning applications and autonomous system projects., They can transfer to undergraduate programmes with DGS or they can take the opportunity to start their own business. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Access To Upper Degree | Those who successfully complete the Robotics and Artificial Intelligence associate degree programme will have the opportunity to complete a bachelor's degree by enrolling in undergraduate programmes that can be made Vertical Transfer in the guide published by ÖSYM, if they are successful in the Vertical Transfer Examination held by ÖSYM. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Exams, Assessment and Grading |
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Graduation Requirements | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Teaching Methods |
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Program Outcomes1-To be able to follow the current developments in the field, to act with the awareness of continuous improvement of professional knowledge and skills; makes conscious choices in career planning.2-To be able to follow professional publications using a foreign language and communicate effectively with colleagues at national and international level. 3-Can take an active role in system design, application development and integration processes in the fields of embedded systems, robotic hardware and industrial automation. 4-Can process digital data with image processing and analytical thinking competence; can interpret and report the results effectively. 5-Acts in line with occupational health and safety, environmental awareness, quality management and professional ethical principles; bears scientific and social responsibility. 6-Evaluate the professional problems encountered from an analytical and critical point of view and develop solutions independently. 7-Demonstrate proficiency in programming, algorithms, data structures, object oriented software and database management; design and develop complex software systems. 8-Have basic, up-to-date and applied knowledge in the fields of robotics and artificial intelligence; can use this knowledge effectively in professional activities. 9-To be able to use oral and written communication skills effectively; to be able to take responsibility in multidisciplinary teams and work in co-operation, to be able to manage large-scale projects. 10-By understanding the principles of artificial intelligence and machine learning, develop technological solutions that can solve real world problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Curriculum
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Matrix of Course - Program Outcomes |