Introduction to Artificial Intelligence
General Catalog Course Title:
Introduction to Artificial Intelligence
Terms Offered:
Fall 2016
Spring 2016
Fall 2015
Spring 2015
Course Thread: 
Human-Centered Design
Abeel, Pieter
Klein, Daniel
Russell, Stuart

Basic ideas and techniques underlying the design of intelligent computer systems. Topics include heuristic search, problem solving, game playing, knowledge representation, logical inference, planning, reasoning under uncertainty, expert systems, learning, perception, robotics, language understanding.

Prerequisites: CS 61A or CS 61B and consent of instructor; 70 or Mathematics 55

Course objectives: An introduction to the full range of topics studied in artificial intelligence, with emphasis on the "core competences" of intelligent systems - problem solving, reasoning, decision making, and learning - and on the logical and probabilistic foundations of these activities.

Topics covered:

intelligent agents
uninformed search
informed search
constraint satisfaction
logical agents
propositional logic
first-order logic
inference in first-order logic
resolution, logic programming
planning, plan execution
uncertainty, probability theory, probabilistic inference
Bayesian networks and associated inference algorithms
optimal decisions under uncertainty
optimal sequential decisions, Markov decision processes
learning agents
inductive learning, decision trees
neural networks
Bayesian learning
natural language processing
philosophical foundations

For more detailed information about classes, please visit the UC Berkeley Online Schedule of Classes.