Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
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
  • Vocational School Of Information Technologies
  • Electrical and Automation Department
  • Robotics and Artificial Intelligence Program
  • Course Structure Diagram with Credits
  • Deep Learning in Artificial Intelligence
  • 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 Outcomes123456789101112131415
Explain the fundamental concepts, mathematical foundations, and architectures of deep learning.300000000003000
Develop and train deep learning models using artificial neural networks, optimization algorithms, and modern deep learning frameworks.300000000003000
Design and implement CNN, RNN, LSTM, and GRU models for image, text, and time-series analysis applications.300000000003000
Evaluate the performance of deep learning models and analyze emerging technologies such as transformer architectures and large language models.300000000003000
  • 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
  • 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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