Artificial Intelligence

4 credits

Broad introduction to the science of automated rational decision-making by machines. Key approaches include search, Markov decision processes, graphical models, reinforcement learning, and supervised learning. Considers a wide variety of application domains (e.g., natural language processing, computer vision, robotics, games) for decision making. Recommended: familiarity with data structures; algorithms; probability; and computer programming.