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
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load
  • Can define and conceptualize a current and novel research problem in the field of artificial intelligence and machine learning.
  • Can review international academic literature (IEEE, ACM, ScienceDirect, etc.) related to the identified problem, and analyze and synthesize existing state-of-the-art studies.
  • Can professionally analyze the software, hardware, dataset, and library requirements necessary for the successful implementation of the project.
  • Can theoretically design the proposed AI/deep learning model architecture and establish its mathematical and logical formulations.
  • Can plan all processes of the project (time management, risk analysis, work packages) in accordance with project management principles and engineering standards.
  • 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.
  • Info on the Institution
  • Name and Adress
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  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
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  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • PhD / Proficiency in Art
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Info for Students
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