Major Topics Covered
Algorithms and representations for artificial intelligence
- Search
- Uninformed search
- Informed search
- Constraint Satisfaction*
- Game Playing
- Minimax
- alpha-beta search
- Introduction to game theory*
- Reasoning under uncertainty
- Probability
- Bayes nets
- Hidden Markov models and tracking
- Planning
- Decision theory
- Stochastic planning (MDPs)
- Reinforcement learning
- Classical planning*
- Introduction to machine learning
- Classification
- Introduction to neural networks and deep learning
- Logic and Knowledge Representation*
- Propositional logic*
- First order logic*
- Theorem Proving*
Topics with a * will be given lower priority and will be covered towards
the end of the semester.