This course introduces algorithms and techniques in artificial intelligence, with particular emphasis on reasoning in constrained and uncertain environments and machine learning with human feedback and/or limited training examples.  The topics include AI-based searching algorithms, reinforcement learning, knowledge representation, uncertainty reasoning, planning and acting. The list of topics aims to provide first-principles understanding of modern AI applications including computer game, robotics and natural language processing.