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Course Info

  • Course Number / Code:
  • MAS.963 (Fall 2001) 
  • Course Title:
  • Out of Context: A Course on Computer Systems That Adapt To, and Learn From, Context 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Media Arts and Sciences 
  • Course Instructor(s):
  • Prof. Henry Lieberman

  • Course Introduction:

  • MAS.963 Out of Context: A Course on Computer Systems That Adapt To, and Learn From, Context

    Fall 2001

    Course Highlights

    This class discusses the future of computing, especially as it relates to intelligent and context-sensitive computing.  Special attention should be given to the student projects, and the lecture notes from Professor Lieberman.

    Course Description

    Increasingly, we are realizing that to make computer systems more intelligent and responsive to users, we will have to make them more sensitive to context. Traditional hardware and software design overlooks context because it conceptualizes systems as input-output functions. Systems take input explicitly given to them by a human, act upon that input alone and produce explicit output. But this view is too restrictive. Smart computers, intelligent agent software, and digital devices of the future will also have to operate on data that they observe or gather for themselves. They may have to sense their environment, decide which aspects of a situation are really important, and infer the user's intention from concrete actions. The system's actions may be dependent on time, place, or the history of interaction, in other words, dependent upon context.

    But what exactly is context? We'll look at perspectives from machine learning, sensors and embedded devices, information visualization, philosophy and psychology. We'll see how each treats the problem of context, and discuss the implications for design of context-sensitive hardware and software.

    Course requirements will consist of critiques of class readings (about 3 papers/week), and a final project (paper or computer implementation project).

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

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