Artificial Intelligence

A survey course on artificial intelligence by Dr. Michael S. Gashler.

This course introduces students to basic concepts in artificial intelligence. Students are guided to build software agents to solve puzzles, navigate over terrain, control agents, win strategy games, and make predictions. The course concludes with a competition in which AI agents battle each other in a game called Torch the Flag. (Watching the videos without completing all of the programming projects does not count as taking this course.)

Lecture 1 intelligence is artificial	Lecture 2 systems analogy	Lecture 3 breaking down intelligence
Lecture 4 breadth-first search	Lecture 5 More BFS	Lecture 6 BFS algorithm	Lecture 7 doing Asgnmt 1
Programming Assignment 1 breadth-first search
Lecture 8	Lecture 9	Lecture 10	Lecture 11
Lecture 12
Lecture 13	Lecture 14	Lecture 15	Lecture 16
Lecture 17	Lecture 18	Lecture 19	Lecture 20
Lecture 21
Programming Assignment 2 A* search
		Lecture 22	Lecture 23
Lecture 24	Lecture 25	Lecture 26	Lecture 27
Lecture 28	Lecture 29	Lecture 30	Lecture 31
Lecture 32	Lecture 33	Lecture 34	Lecture 35
Programming Assignment 3 Genetic algorithm
Lecture 36	Lecture 37	Lecture 38
Lecture 39 Review for exam 1	Lecture 40 More review
Exam 1
		Lecture 41	Lecture 42
Lecture 43 tic-tac-toe	Lecture 44	Lecture 45	Lecture 46
Programming Assignment 4 Mini-max (with tic-tac-toe)
Lecture 47 improving chess	Lecture 48 go	Lecture 49 cooperative games
Programming Assignment 5 Alpha-beta pruning (with Chess)
Lecture 50 analyze tit-for-tat	Lecture 51 WW1 quotes	Lecture 52 altruistic priorities
Lecture 53 emergent phenomena	Lecture 54 free will
Lecture 55 decision trees	Lecture 56 starter code	Lecture 57 dt gotchas
Lecture 58 implementing dt	Lecture 59 entropy	Lecture 60 bagging	Lecture 61 how it fits together
Lecture 62 review for test
Exam 2
Lecture 63 Questions 1-4	Lecture 64 Questions 5-13	Lecture 65 Intro to Occam's Razor	Lecture 66 More Occam's Razor
Programming Assignment 6 Random forest
Lecture 67 Intro to Q-learning	Lecture 68 Homeostasis	Lecture 69 Updating the Q-table	Lecture 70 More updating Q-table
Lecture 71 Finish Q-learning
Programming Assignment 7 Q-learning
Lecture 72 Torch the Flag intro	Lecture 73 Torch the Flag coding	Lecture 74 unsupervised learning
Programming Assignment 8 Torch the Flag competition
Lecture 75 voting schemes	Lecture 76 related topics	Lecture 77 dualism vs. functionalism	Lecture 78 Chinese room
Lecture 79 class tournament
Final Exam