People Innovation Excellence


Learning Outcomes:

On successful completion of this Course, students will be able to: Describe what AI is and identify the concept of intelligent agent; Explain and apply various intelligent search methods that an agent can use to solve problems; Describe knowledge representation and explain how to use this knowledge for reasoning purposes; Demonstrate how to achieve a goal through a sequence of actions called planning; Apply various techniques to an agent when acting under uncertainty; Apply how to process natural language and other perceptual signs in order for an agent to interact intelligently with the world


  1. Introduction to Artificial Intelligence;
  2. Intelligent Agents;
  3. Solving Problems by Searching;
  4. Informed Search and Exploration;
  5. Constraint Satisfaction Problems;
  6. Adversarial Search;
  7. Logical Agents;
  8. First Order Logic;
  9. Inference in First Order Logic;
  10. Knowledge Representation;
  11. Planning;
  12. Planning and Acting in the Real World;
  13. Uncertainty;
  14. Probabilistic Reasoning;
  15. Probabilistic Reasoning Over Time;
  16. Making Simple Decisions;
  17. Making Complex Decisions;
  18. Learning from Observations;
  19. Knowledge in Learning;
  20. Statistical Learning Methods;
  21. Reinforcement Learning;
  22. Communication;
  23. Probabilistic Language Processing;
  24. Perception; Robotics;
  25. Philosophical Foundation.

Published at : Updated

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