Introduction to AI, History, Philosophy and Definition, Areas of AI Applications, Fundamental Issues in Intelligent Systems, Knowledge Representation and Search, Search and Constraint Satisfaction, Reasoning, Logic, Graph Theory, Problem Solving Techniques – Strong Method and Reasoning in Uncertain Situations, Inference, Searching involving Brute Force and Heuristic Search, Soft Computing and Agent Technology, Machine Learning.
Learning Outcomes:
- At the end of the course, you should be able to:
- Describe and elaborate the Concept, Theory and Techniques found in the Artificial Intelligence field.
- Relate the Concept, Theory and Techniques in Artificial Intelligence to real world problems.
- Apply the Concept, Theory and Techniques to solve real world problems using computer and information technology
- Independently acquire knowledge and explain information on some key issues in AI.
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