This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
start [2018/11/12 07:06] anderson [November] |
start [2020/09/17 13:55] 127.0.0.1 external edit |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== Schedule ====== | + | ===== Schedule ====== |
===== Announcements ===== | ===== Announcements ===== | ||
+ | Links to live MS Teams events: | ||
+ | * Lectures: [[https:// | ||
+ | * Office hours: Apoorv [[https:// | ||
+ | * Office hours: Chaitanya [[https:// | ||
+ | * Office hours: Chuck [[https:// | ||
+ | |||
- | Lecture | + | 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: | To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file: | ||
Line 10: | Line 17: | ||
export PATH=/ | 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. | |
- | This is a tentative schedule of CS440 topics for Fall, 2018. This will be updated during the summer and as the fall semester continues. | + | |
===== August ===== | ===== August ===== | ||
- | |< 100% 10% 20% 30% 20% 20% >| | + | |< 100% 18% 20% 22% 20% 20% >| |
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 1:\\ Aug 20 - Aug 24 | What is AI? Promises and fears.\\ Python review.\\ Problem-Solving Agents. | + | | Week 1:\\ Aug 24 - Aug 28 | What is AI? Promises and fears.\\ Python review.\\ Problem-Solving Agents. |
- | | Week 2:\\ Aug 27 - Aug 31 | Problem-solving search and how to measure performance.\\ Iterative deepening and other uninformed search methods. | + | |
===== September ===== | ===== September ===== | ||
- | |< 100% 10% 20% 30% 20% 20% >| | + | |< 100% 18% 20% 22% 20% 20% >| |
- | ^ Week ^ Topic ^ Material | + | ^ Week ^ Topic ^ Material |
- | | Week 3:\\ Sept 4 - Sept 7\\ No class on the Sept 3 (University Holiday) | + | | Week 2:\\ Aug 31 - Sept 4 | Help with A1.\\ Problem-solving search and how to measure performance.\\ Iterative deepening |
- | | Week 4:\\ Sept 10 - Sept 14 | Informed search. A* search. Python classes, sorting, numpy arrays. | + | | Week 3:\\ Sept 7 - Sept 11 |
- | | Week 5:\\ Sept 17 - Sept 21 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | + | | Week 4:\\ Sept 14 - Sept 18 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. |
- | | Week 6:\\ Sept 24 - Sept 28 | Negamax, with pruning. Introduction to Reinforcement Learning. | + | | Week 5:\\ Sept 21 - Sept 25 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. |
+ | | Week 6:\\ Sept 28 - Oct 2 | Negamax, with pruning. Introduction to Reinforcement Learning. | ||
===== October ===== | ===== October ===== | ||
- | |< 100% 10% 20% 30% 20% 20% >| | + | |< 100% 18% 20% 22% 20% 20% >| |
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Oct 1 - Oct 5 | Reinforcement Learning for Two-Player Games. | + | | Week 7:\\ Oct 5 - Oct 9 | Reinforcement Learning for Two-Player Games. |
- | | Week 8:\\ Oct 8 - Oct 12 | Introduction to Neural Networks | + | | Week 8:\\ Oct 12 - Oct 16 | Introduction to Neural Networks |
- | | Week 9:\\ Oct 15 - Oct 19 | More Neural Networks. Autoencoders. | + | | Week 9:\\ Oct 19 - Oct 23 | More Neural Networks. Autoencoders. |
- | | Week 10:\\ Oct 22 - Oct 26 | Introduction to Classification. Bayes Rule. Generative versus Discriminative. Linear Logistic Regression. | + | | Week 10:\\ Oct 26 - Oct 30 | Introduction to Classification. Bayes Rule. Generative versus Discriminative. Linear Logistic Regression. |
===== November ===== | ===== November ===== | ||
- | |< 100% 10% 20% 30% 20% 20% >| | + | |< 100% 18% 20% 22% 20% 20% >| |
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 11:\\ Oct 29 - Nov 2 | Classification with Neural Networks. Reinforcement Learning with Neural Networks. | + | | Week 11:\\ Nov 2 - Nov 6 | Classification with Neural Networks. Reinforcement Learning with Neural Networks. |
- | | Week 12:\\ Nov 5 - Nov 9 | Introduction to Pytorch.\\ Constraint satisfaction.\\ Min-conflicts. | + | | Week 12:\\ Nov 9 - Nov 13 | Introduction to Pytorch.\\ Constraint satisfaction.\\ Min-conflicts. |
- | | Week 13:\\ Nov 12 - Nov 16 | Natural language understanding and translation | + | | Week 13:\\ Nov 16 - Nov 20 | Natural language understanding and translation. | < |
- | | Nov 19 - Nov 23 | Fall Recess | + | | Nov 23 - Nov 27 | Fall Recess! |
- | | Week 14:\\ Nov 26 - Nov 30 | Faster Reinforcement Learning. | + | |
===== December ===== | ===== December ===== | ||
- | |< 100% 10% 20% 30% 20% 20% >| | + | |< 100% 18% 20% 22% 20% 20% >| |
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 15:\\ Dec 3 - Dec 7 | Recurrent neural networks | + | | Week 14:\\ Nov 30 - Dec 4 | Faster Reinforcement Learning |
- | | Final Exam Week:\\ Dec 10 - Dec 14 | + | | Week 15:\\ Dec 7 - Dec 11 |
+ | | Final Exam Week:\\ Dec 14 - Dec 18 | ||
+ | |||