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 Infomation Sciences
  • Artificial Intelligence And Machine Learning Pr. (English)
  • Course Structure Diagram with Credits
  • Applied 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 Outcomes123456789101112
Develop solutions to game-playing or pathfinding problems using search algorithms (A*, Minimax).323010312212
Preprocess text data and solve text classification problems using appropriate classification algorithms in natural language processing.322313022223
Convert text data into numerical feature vectors using Bag-of-Words (BoW) and TF-IDF methods.332203311213
Develop image classification applications using image processing and machine learning methods.322313322223
Solve basic sequential data analysis and classification problems using recurrent neural networks (RNN/LSTM).333112122333
Develop a basic reinforcement learning application using the Q-Learning algorithm.333112132223
Plan, develop, evaluate, and present an artificial intelligence project.323323323333
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