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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)
  • 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)
  • Tuesday, Mar 3: Reinforcement learning (part 3)
  • Tuesday, Mar 10: Bayesian modeling (part 1)
  • Tuesday, Mar 17: No Class, Spring Break
  • Tuesday, Mar 24: Bayesian modeling (part 2)
    • πŸ“₯ Project proposal is due
  • Tuesday, Mar 31: Model comparison and fitting
  • Tuesday, Apr 7: Categorization
  • 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
    • πŸ“₯ Final project due (Due Tuesday, May 5)
  • Tuesday, May 12, 2026, 8:00AM-9:50AM: πŸ“ Final Exam (Poster conference) in TBD

Lab schedule ​

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