ARTIFICIAL INTELLIGENCE (5 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: identify value propositions in business with physical / visual representation of an idea; describe how Artificial Intelligence works in Games; explain the concepts of AI Techniques in Game; design AI-based game; construct AI-based game.

Topics:

1. Introduction to AI for Games
2. Game AI
3. Introduction to Prototype Development 1 (PD1 – F2F)
4. Introduction to Game Movement
5. Advanced Game Movement
6. Pathfinding : Dijkstra & A*
7. Pathfinding : Hierarchical & Continuous Time Path Finding
8. VPC & Idea Profile (PD1 – Dicussion Forum)
9. Decision Making : Decision Tree & State Machines
10. Decision Making : Behavior Tree
11. Decision Making : Fuzzy Logic & Markov Systems
12. Decision Making : Goal-Oriented Behavior
13. Solution Sketch & Storyboard (PD1 – Discussion Forum)
14. Decision Making : Rule-Based System
15. Scripting
16. Algorithm Implementation in Game 1
17. Algorithm Implementation in Game 2
18. Product / Service Prototype (PD1 – F2F)
19. Tactical and Strategic AI
20. Board Games
21. Products / Services Features & Function (PD1 – Discussion Forum)
22. Designing Board Games Using AI
23. Introduction of Designing Game AI
24. Extension of Designing Game AI
25. AI-Based Game Genres
26. Key Resources & Pitch Deck (PD1 – Discussion Forum)
27. Learning Parameter Modification & Action Prediction
28. Learning Parameter Modification & Action Prediction
29. Decision Learning 1
30. Decision Learning 2
31. Review & Project Presentation
32. Report (PD1 -F2F)