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
  • Faculty Of Computer And Information Technologies
  • Artificial Intelligence And Machine Learning Pr. (English)
  • Course Structure Diagram with Credits
  • Graduation Project I
  • Learning Outcomes & Program Qualifications
  • 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
Learning Outcomes123456789101112
Can define and conceptualize a current and novel research problem in the field of artificial intelligence and machine learning.122322223232
Can review international academic literature (IEEE, ACM, ScienceDirect, etc.) related to the identified problem, and analyze and synthesize existing state-of-the-art studies.123222223331
Can professionally analyze the software, hardware, dataset, and library requirements necessary for the successful implementation of the project.312223313222
Can theoretically design the proposed AI/deep learning model architecture and establish its mathematical and logical formulations.232312332222
Can plan all processes of the project (time management, risk analysis, work packages) in accordance with project management principles and engineering standards.101222123213
Can document theoretical findings, literature review, and system design in a technical report according to academic writing rules, and defend it orally and visually before a jury.122232112322
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