Course Details Language of Instruction English Level of Course Unit Master's Degree Department / Program ELECTRICAL AND COMPUTER ENGINEERING Type of Program Formal Education Type of Course Unit Elective Course Delivery Method Face To Face Objectives of the Course O1. Gain an understanding of artificial intelligence methodologies O2. Learn the techniques used for developing artificial intelligence models O3. Gain practice by coding programming assignments O4. Apply the concepts to a real problem by completing a course project Course Content Introduction and Intelligent Agents Uniformed Search and Informed Search Search for Optimization Search for Optimization, Adversarial Search Adversarial Search, Review of Search Propositional Logic and First Order Logic Probabilistic Inference, Bayesian Networks Machine Learning, Probabilistic Classification Artificial Neural Networks, Evaluating Learning Algorithms Sequential Decision Making Reinforcement Learning 1 Reinforcement Learning 1 Deep Learning Course Methods and Techniques Prerequisites and co-requisities None Course Coordinator None Name of Lecturers None Assistants None Work Placement(s) No Recommended or Required Reading Resources

 





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