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===== Announcements ===== | ===== Announcements ===== | ||
+ | The live lecture is in the MS Teams meeting [[https:// | ||
- | Lecture videos are available from the Canvas site (in the menu on the left) by selecting | + | Lecture |
- | [[https:// | + | [[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: | ||
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|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
- | ^ Week ^ Topic ^ Material | + | ^ Week ^ Topic ^ Material |
- | | Week 2:\\ Aug 31 - Sept 4 | Problem-solving search and how to measure performance.\\ Iterative deepening and other uninformed search methods. | + | | Week 2:\\ Aug 31 - Sept 4 | 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 3:\\ Sept 7 - Sept 11 | Informed search. A* search. Python classes, sorting, numpy arrays. |
| Week 4:\\ Sept 14 - Sept 18 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. | | Week 4:\\ Sept 14 - Sept 18 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. | ||
| Week 5:\\ Sept 21 - Sept 25 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | | Week 5:\\ Sept 21 - Sept 25 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
| Week 11:\\ Nov 2 - Nov 6 | 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 9 - Nov 13 | Introduction to Pytorch.\\ Constraint satisfaction.\\ Min-conflicts. | + | | Week 12:\\ Nov 9 - Nov 13 | Introduction to Pytorch.\\ Constraint satisfaction.\\ Min-conflicts. |
| Week 13:\\ Nov 16 - Nov 20 | Natural language understanding and translation. | | Week 13:\\ Nov 16 - Nov 20 | Natural language understanding and translation. | ||
| Nov 23 - Nov 27 | Fall Recess! | | Nov 23 - Nov 27 | Fall Recess! | ||
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| Week 14:\\ Nov 30 - Dec 4 | Faster Reinforcement Learning | | Week 14:\\ Nov 30 - Dec 4 | Faster Reinforcement Learning | ||
| Week 15:\\ Dec 7 - Dec 11 | | <!-- **Dec 3:**\\ Tom Cavey: //Image Classification and Object Detection of Things Around CSU//\\ Jason Stock: // | | Week 15:\\ Dec 7 - Dec 11 | | <!-- **Dec 3:**\\ Tom Cavey: //Image Classification and Object Detection of Things Around CSU//\\ Jason Stock: // | ||
- | | Final Exam Week:\\ Dec 14 - Dec 18 | | + | | Final Exam Week:\\ Dec 14 - Dec 18 | |