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Last updated:

October 10, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

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).

Course Curriculum

  • What is Artificial Intelligence (AI)? Unlimited
  • Problem Solving and Search Unlimited
  • Logic Unlimited
  • Satisfiability and Validity Unlimited
  • First-Order Logic Unlimited
  • Resolution Theorem Proving: Propositional Logic Unlimited
  • Resolution Theorem Proving: First Order Logic Unlimited
  • Logic Miscellanea Unlimited
  • Planning Unlimited
  • Partial-Order Planning Algorithms Unlimited
  • Graph Plan Unlimited
  • Planning Miscellany Unlimited
  • Probability Unlimited
  • Bayesian Networks Unlimited
  • Inference in Bayesian Networks Unlimited
  • Where do Bayesian Networks Come From? Unlimited
  • Learning With Hidden Variables Unlimited
  • Decision Making under Uncertainty Unlimited
  • Markov Decision Processes Unlimited
  • Reinforcement Learning Unlimited

About the instructor

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Massachusetts Institute of Technology