2147332 Artificial intelligence (2/2022)

Zoom Link: https://chula.zoom.us/j/7474759219 

Shared Drive (all lecture note files and others): https://drive.google.com/drive/folders/16-PflADhiI68l7HykH0zW_QIxcAt3Y4l?usp=share_link 

Course Schedule:

1. 13 Jan 2023: Course Introduction (Python Background, Intro to AI, Machine Learning Concept, Hypothesis Representation) (VDO Playlist)

2. 20 Jan 2023: State Space Search and Blind Search (VDO Playlist, Colab Link)

3. 27 Jan 2023 (Fully Online): Informed Search (VDO Playlist)

   1. Source code for 24 game https://colab.research.google.com/drive/1-ViQ1rrIWrvE9XY6GA_bE17eeXNz-YTS?usp=sharing 

4. 3 Feb 2023: GA, PSO (VDO Playlist)

5. 10 Feb 2023: Reinforcement Learning (VDO Playlist)

6. 17 Feb 2023: Game Playing (VDO Playlist)

7. 24 Feb 2023: AI Libraries (Colab Link)

8. 3 Mar 2022: Hackathon Project (Fully Onsite)

   1. You'll be given a problem https://colab.research.google.com/drive/1Mn-1thyPy1oK7V3z9OZl1njgLDw-ndfe?usp=sharing 

   2. Work with a group of 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. Work within 2:30 hours and present in next hour.

9. *** After midterm ***

   1. Only Onsite at room 18-16, 18th floor, ENG 4 BLDG.

10. Text Book:

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