Lecture schedule

Live lectures are

Tuesday, Jan 20: Introduction
Tuesday, Jan 27: Neural networks / Deep learning (part 1)
Tuesday, Feb 3: Neural networks / Deep learning (part 2)
- 📚 Homework 1 assigned (Due Tuesday, Feb 24) (instructions for accessing)
Tuesday, Feb 10: Reinforcement learning (part 1)
Tuesday, Feb 17: No Class, Legislative Monday (NYU classes meet on a Monday schedule)
Tuesday, Feb 24: Reinforcement learning (part 2)
- 📚 Homework 2 assigned (Due Tuesday, Mar 10) (instructions for accessing)
Tuesday, Mar 3: Reinforcement learning (part 3)
Tuesday, Mar 10: Bayesian modeling (part 1)
- 📚 Homework 3 assigned (Due Tuesday, Mar 31) (instructions for accessing)
Tuesday, Mar 17: No Class, Spring Break
Tuesday, Mar 24: Bayesian modeling (part 2)
- 📥 Project proposal is due
Tuesday, Mar 31: Model comparison and fitting
Tuesday, Apr 7: Categorization
- 📚 Homework 4 assigned (Due Tuesday, Apr 21) (instructions for accessing)
Tuesday, Apr 14: Probabilistic Graphical models
Tuesday, Apr 21: Causal interventions and active learning
Tuesday, Apr 28: Program induction and language of thought models
Tuesday, May 5: Computational Theory of Other Minds and Final Summary
- 📥 Final project due (Due Tuesday, May 5)

Tuesday, May 12, 2026, 8:00AM-9:50AM: 📝 Final Exam (Poster conference) in TBD

Lab schedule

Thursdays 11:15AM-12:05PM (in person)