3.0

Average Course Rating

The course situates the study of Artificial Intelligence (AI) first in the broader context of Cognitive Science (i.e., human intelligence) and then treats in-depth principles and methods for reasoning, planning, and learning, including both conventional methods and recent deep learning approaches. The class is recommended for all scientists and engineers with a genuine curiosity about how to build an AI system (in particular, an intelligent agent) that can learn, reason about, and interact with the world and other agents. Students will be asked to complete both programming assignments and writing assignments. Required course background: data structures, linear algebra & prob/stat. Students can only receive credit for one of 601.464/664.