Part I: Advanced Searching

Informed Search and Online Search
Constraint Satisfaction Problems (CSP) and Distributed CSP
Games and Adversarial Search
Part II: Knowledge, Reasoning, and Decision Making under Uncertainty

Logic, Inference, and Ontology
Automated Planning and Acting (Optional)
Uncertainty, Graphical Models, and Probabilistic Reasoning
Temporal Probabilistic Reasoning and Dynamic Bayesian Networks
Complex Decision-Making
Part III: Machine Learning

Inductive and Analytic Learning
Computational Learning Theory and Statistical Learning
Reinforcement Learning, Deep Learning and Multiagent Learning
Part IV: AI for Communication, Robotics, and Information Systems

Natural Language Understanding and Statistical Language Processing
Perception and Robotics (Optional)
AI in Business Intelligence and E-Learning (Optional)