2147332 Artificial intelligence (2/2021)

Zoom Link: https://chula.zoom.us/j/99739829173?pwd=TUpXMmt0Q3BYaUlDSThveUJhakgzUT09

Course Schedule:

1. 14 Jan 2022: Course Introduction (Python Background, Intro to AI, Machine Learning Concept, Hypothesis Representation) (VDO Playlist, Self Evaluation Spreadsheet)

2. 21 Jan 2022: State Space Search and Blind Search (VDO Playlist, Recorded Zoom) (Exercise & More Examples Session Start at 11am)

3. 28 Jan 2022: Informed Search (VDO Playlist, Recorded Zoom) (Exercise & More Examples Session Start at 11am)

4. 4 Feb 2022: GA, PSO (VDO Playlist, Recorded Zoom, Exercise & More Examples Session Start at 9:15am on 11 Feb)

5. 11 Feb 2022: Reinforcement Learning (VDO Playlist)

6. 18 Feb 2022: Game Playing (VDO Playlist), Q&A Start from 12:00

7. 25 Feb 2022: Course Review (VDO Review)

8. 4 Mar 2022: Q&A Session (Please join at 11:00 am)

9. Project presentation (Group Work)

   1. Presented on 16 and 17 March 2022. Please reserve your timeslot here.

   2. Group work with 2-3 members,

   3. You "must" choose one of the techniques from our classes. Other techniques which are not mentioned in this course are not allowed.

   4. You "must" develop source code by yourself, any source code from other sources is not allowed. The only source that you can use is all colabs from our class.

   5. The size of the problems you attack should be the same as 8-puzzle, checker, or connect four. The chess is too big for this project. If you choose the attack some reinforcement learning problems, the gym from open AI is a very interesting problem but you must do it by yourself. And again, you must write the code by yourself.

   6. Total working hours should be less than 10 hours.

10. Text Book:

    1. https://www.amazon.com/Artificial-Intelligence-Modern-Approach-3rd/dp/0136042597