MIT OpenCourseWare
  • OCW home
  • Course List
  • about OCW
  • Help
  • Feedback
  • Support MIT OCW

6.034 Artificial Intelligence, Spring 2003

Example of a decision tree from Chapter 9 of the readings section.
An example of a decision tree from Chapter 9 (Machine Learning I) of the readings section. (Image by Tomás Lozano-Pérez and Leslie Kaelbling.)

Highlights of this Course

6.034 is the header course for the department's "Artifical Intelligence and Applications" concentration. The site features a full set of course notes, in addition to other materials used in the course.

Course Description

6.034 introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Topics covered include: applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms, as well as applications of decision trees, neural nets, SVMs and other learning paradigms.

 

Staff

Instructors:
Prof. Tomás Lozano-Pérez
Prof. Leslie Kaelbling

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Recitations:
One session / week
1 hour / session

Level

Undergraduate

Feedback

Send feedback about OCW or this course.