This shows you the differences between two versions of the page.
start [2020/12/03 10:14] anderson [December] |
start [2020/12/09 18:42] |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | ===== Schedule ====== | ||
- | |||
- | ===== Announcements ===== | ||
- | |||
- | Links to live MS Teams events: | ||
- | * Lectures: [[https:// | ||
- | * Office hours: Apoorv [[https:// | ||
- | * Office hours: Chaitanya [[https:// | ||
- | * Office hours: Chuck [[https:// | ||
- | |||
- | |||
- | Recordings of lecture and office hour videos are available from the Home page of our | ||
- | [[https:// | ||
- | |||
- | To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file: | ||
- | |||
- | export PATH=/ | ||
- | |||
- | This is a tentative schedule of CS440 topics for Fall, 2020. This will be updated during the summer and as the fall semester continues. | ||
- | |||
- | |||
- | ===== August ===== | ||
- | |||
- | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | ||
- | | Week 1:\\ Aug 24 - Aug 28 | What is AI? Promises and fears.\\ Python review.\\ Problem-Solving Agents. | ||
- | |||
- | ===== September ===== | ||
- | |||
- | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | ||
- | | Week 2:\\ Aug 31 - Sept 4 | Help with A1.\\ Problem-solving search and how to measure performance.\\ Iterative deepening and other uninformed search methods. | ||
- | | Week 3:\\ Sept 7 - Sept 11 | Informed search. A* search. Python classes, sorting, numpy arrays. | ||
- | | Week 4:\\ Sept 14 - Sept 18 | A* optimality, admissible heuristics | ||
- | | Week 5:\\ Sept 21 - Sept 25 | Effective branching factor.\\ Local search and optimization. Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | ||
- | | Week 6:\\ Sept 28 - Oct 2 | Negamax, with pruning. Introduction to Reinforcement Learning. | ||
- | |||
- | ===== October ===== | ||
- | |||
- | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Oct 5 - Oct 9\\ <color red>Oct 8 Lecture will not meet, but recording will be available.</ | ||
- | | Week 8:\\ Oct 12 - Oct 16 | Constraint satisfaction.\\ Min-conflicts. | ||
- | | Week 9:\\ Oct 19 - Oct 23 | Natural language processing. | ||
- | | Week 10:\\ Oct 26 - Oct 30 | Introduction to Neural Networks | ||
- | |||
- | |||
- | ===== November ===== | ||
- | |||
- | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | ||
- | | Week 11:\\ Nov 2 - Nov 6 | More Neural Networks | ||
- | | Week 12:\\ Nov 9 - Nov 13 | Interpreting what a neural network has learned. | ||
- | | Week 13:\\ Nov 16 - Nov 20 | Natural language processing with neural nets. | [[http:// | ||
- | | Nov 23 - Nov 27 | Fall Recess! | ||
- | |||
- | ===== December ===== | ||
- | |||
- | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | ||
- | | Week 14:\\ Nov 30 - Dec 4 | Clustering. Word embeddings.\\ Genetic algorithms. | ||
- | | Week 15:\\ Dec 7 - Dec 11 | Recent AI Success | ||
- | | Final Exam Week:\\ Dec 14 - Dec 18 | No exam. | | | [[http:// | ||
- | |||
- | |||
- | |||
- | |||