Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
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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
  • Educational Objectives

1) Machine Learning and Artificial Intelligence Competency: In this department, students develop a deep understanding of machine learning and artificial intelligence. They learn fundamental concepts, methods, and techniques, gaining the ability to apply them to real-world problems.

2) Problem Solving and Algorithm Development: Graduates develop algorithmic thinking skills to solve complex problems. Their ability to generate innovative solutions to real-world problems using artificial intelligence and machine learning methods increases.

3) Modeling and Optimization: Graduates develop the skills to create, train, and optimize learning models from data sets. This includes understanding performance metrics and tuning model hyperparameters.

4) Data Analysis and Big Data Management: Graduates gain the ability to work effectively with large amounts of data. They develop the skills to explore, clean, visualize, and analyze data sets using data analysis tools.

5) Artificial Intelligence Application Projects: Students gain the ability to successfully use artificial intelligence and machine learning techniques in real-world applications. They gain experience in this field by working on industry-related projects.

6) Teamwork and Communication Competence: Students have the opportunity to work collaboratively on group projects. During this process, they develop effective communication and teamwork skills. This is a crucial skill that will enable graduates to succeed in the business world and research environments.

  • Info on the Institution
  • Name and Adress
  • Academic Calendar
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  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
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  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
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