Engineering and Applied Sciences >> Electrical Engineering

For Course Instructors

  • Advertise your course for free
  • Feature your course listing
  • Create course discussion group
  • Link to your course page
  • Increase student enrollment

More Info...>>

Course Info

  • Course Number / Code:
  • 6.231 (Fall 2002) 
  • Course Title:
  • Dynamic Programming and Stochastic Control 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Dimitri Bertsekas

  • Course Introduction:

  • 6.231 Dynamic Programming and Stochastic Control

    Fall 2002

    Course Highlights

    This course features a full set of lecture notes and homework solutions, in addition to quizzes and other materials used by students in the course. The materials are largely based on the textbook, Dynamic Programming and Optimal Control, written by Professor Dimitri Bertsekas (see for more information).

    Course Description

    This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). Approximation methods for problems involving large state spaces are also presented and discussed.

    *Some translations represent previous versions of courses.


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

© 2009-2020, All Rights Reserved.
Higher Ed Space ® is a registered trademark of AmeriCareers LLC.