Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Department of Computer Engineering
  • Artifical Intelligence (MS) (with Thesis) (English)
  • Course Structure Diagram with Credits
  • Seminar
  • Course's Contribution to Prog.
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

0 : Does not support   1 : Low-level support   2 : Mid-level support   3 : Top level support
No Program Outcomes level of Contribution
0 1 2 3
1 In the field of artificial intelligence, the ability to develop and deepen knowledge in the field to an expert level, based on undergraduate-level engineering qualifications.
2 The ability to understand the interdisciplinary interaction of artificial intelligence with other related fields.
3 The ability to utilize expert-level theoretical and practical knowledge in the field of artificial intelligence, integrate this knowledge with data from different disciplines, interpret it, and develop new artificial intelligence solutions.
4 The ability to analyze and solve problems related to artificial intelligence using research methods.
5 The ability to independently conduct and, when necessary, provide leadership in a project requiring expertise in the field of artificial intelligence.
6 The ability to develop new strategic approaches and take responsibility for solving big data, complex modeling, and unpredictable problems encountered in artificial intelligence applications.
7 The ability to critically evaluate expert-level knowledge and skills acquired in the field of artificial intelligence, analyze model performance, and direct their own learning processes.
8 The ability to systematically communicate their work in the field of artificial intelligence to other researchers in written, oral, and visual formats, using at least a foreign language at the B2 General Level of the European Language Portfolio.
9 The ability to use information technologies at an advanced level in artificial intelligence applications.
10 The ability to monitor and teach societal, scientific, cultural, and ethical values ​​in the processes of collecting, processing, modeling, and sharing data related to artificial intelligence.
11 In the field of artificial intelligence, the ability to develop strategies, policies, and implementation plans while adhering to sustainability principles, and to evaluate the results obtained within the framework of quality processes.
12 The ability to utilize knowledge, problem-solving, and/or application skills gained in the field of artificial intelligence in interdisciplinary studies.

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  • PhD / Proficiency in Art
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