Lecture schedule
- Wednesday, Jan 21: Introduction
- Monday, Jan 26: Neural networks / Deep learning (part 1a)
- Wednesday, Jan 28: Neural networks / Deep learning (part 1b)
- Monday, Feb 2: Neural networks / Deep learning (part 2a)
- Wednesday, Feb 4: Neural networks / Deep learning (part 2b)
- 📚 Homework 1 assigned (Due Tuesday, Feb 17) (instructions for accessing)
- Monday, Feb 9: Jupyter/Python
- Wednesday, Feb 11: Exam 1 / Reinforcement learning (part 1a)
- 📝 In-class exam 1 (Information on exams)
- Monday, Feb 16: No Class, Presidents' Day
- Tuesday, Feb 17: Reinforcement learning (part 1b)
- ⚠️ Legislative Monday (Tuesday follows Monday schedule)
- 📥 Homework 1 due
- Wednesday, Feb 18: Reinforcement learning (part 2a)
- 📚 Homework 2 assigned (Due Wednesday, Mar 4) (instructions for accessing)
- Monday, Feb 23: Reinforcement learning (part 2a continued)
- Wednesday, Feb 25: Reinforcement learning (part 1-2a review)
- Monday, Mar 2: Reinforcement learning (part 2b)
- Wednesday, Mar 4: Reinforcement learning (part 3a)
- 📥 Homework 2 due
- Monday, Mar 9: Reinforcement learning (part 3b)
- Wednesday, Mar 11: Reinforcement learning review
- 📝 In-class exam 2 (Information on exams)
- Monday, Mar 16: No Class, Spring Break
- Wednesday, Mar 18: No Class, Spring Break
- Monday, Mar 23: Bayesian modeling (part 1a)
- 📚 Homework 3 assigned (Due Wednesday, Apr 1) (instructions for accessing)
- 📥 Project proposal is due
- Wednesday, Mar 25: Bayesian modeling (part 1b)
- Monday, Mar 30: Bayesian modeling (part 2a)
- Wednesday, Apr 1: Bayesian modeling (part 2b)
- 📚 Homework 4 assigned (Due Monday, Apr 13) (instructions for accessing)
- 📥 Homework 3 due
- Monday, Apr 6: Probabilistic graphical models (part a)
- 📝 In-class exam 3 (Information on exams)
- Wednesday, Apr 8: Probabilistic graphical models (part b)
- Monday, Apr 13: Causal interventions and active learning (part a)
- 📥 Homework 4 due
- Wednesday, Apr 15: Causal interventions and active learning (part b)
- Monday, Apr 20: Program induction and language of thought models (part a)
- Wednesday, Apr 22: Program induction and language of thought models (part b)
- Monday, Apr 27: Computational theory of mind
- Wednesday, Apr 29: TBD
- 📝 In-class exam 4 (Information on exams)
- Monday, May 4: Conclusion
- 📥 Final project due