Engineering and Applied Sciences >> Artificial Intelligence/Robotics

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Course Info

  • Course Number / Code:
  • 6.825 (Fall 2002) 
  • Course Title:
  • Techniques in Artificial Intelligence (SMA 5504) 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Leslie Kaelbling

    Prof. Tomás Lozano-Pérez

  • Course Introduction:

  • 6.825 Techniques in Artificial Intelligence (SMA 5504)

    Fall 2002

    Course Highlights

    The calendar for this course provides the topics for the course, along with direct links to lecture notes, homework assignments, and exams.

    Course Description

    6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning.

    This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

    Technical Requirements

    Any text editor can be used to view the .cnf files found on this course site. Please refer to the course materials for any specific instructions or recommendations. Java® plug-in software is required to run the Java® files found on this course site. File decompression software, such as Winzip® or StuffIt® , is required to open the .gz files found on this course site.

    Java® is a trademark or registered trademark of Sun Microsystems, Inc. in the United States and other countries.
    StuffIt® is a trademark of Aladdin Systems, Inc.
    WinZip® is a registered trademark of WinZip Computing, Inc.


This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.

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