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Course Info

Instructor:
  • Patrick Henry Winston
Course Number:
  • 6.034
Departments:
  • Electrical Engineering and Computer Science
As Taught In: Fall 2010
Level: Undergraduate

Topics

  • Engineering
    Computer Science
    Algorithms and Data Structures
    Artificial Intelligence
    Theory of Computation

Learning Resource Types

grading Exams
theaters Lecture Videos
theaters Recitation Videos
assignment Programming Assignments
co_present Instructor Insights
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Course Info
Artificial Intelligence
  • Syllabus

  • Calendar

  • Instructor Insights

    • Teaching Heuristics
    • Experiencing the Large Lecture as Theater
    • Assessment Informed by a Student-Centered Ethic
    • Managing an Online Forum
    • Challenges Teaching Assistants Face
  • Readings

  • Lecture Videos

  • Mega-Recitation Videos

  • Tutorials

  • Assignments

  • Exams

  • Demonstrations

Mega-Recitation Videos

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Below are selected mega-recitation videos. For each mega-recitation, a TA works through problems from previous quizzes with input from the class.

Mega-Recitation 1: Rule-Based Systems
Mega-Recitation 2: Basic Search, Optimal Search
Mega-Recitation 3: Games, Minimax, Alpha-Beta
Mega-Recitation 4: Neural Nets
Mega-Recitation 5: Support Vector Machines
Mega-Recitation 6: Boosting
Mega-Recitation 7: Near Misses, Arch Learning

Course Info

Instructor:
  • Patrick Henry Winston
Course Number:
  • 6.034
Departments:
  • Electrical Engineering and Computer Science
As Taught In: Fall 2010
Level: Undergraduate

Topics

  • Engineering
    Computer Science
    Algorithms and Data Structures
    Artificial Intelligence
    Theory of Computation

Learning Resource Types

grading Exams
theaters Lecture Videos
theaters Recitation Videos
assignment Programming Assignments
co_present Instructor Insights
MIT Open Learning
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