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MIT OpenCourseWare via MIT

Principles of Autonomy and Decision Making

Overview

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research.

Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

Skills you'll practise

AIAlgorithms and Data StructuresBusiness & ManagementCognitive ScienceComputer ScienceData Science, Analytics & Computer TechnologyEconomicsEngineeringMachine LearningScience & MathSocial SciencesSystems Engineering

Advantages and disadvantages

Advantages

  • The real MIT course: lecture notes, problem sets and exams, often with solutions.
  • Free, with no sign-up or deadlines.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • Completely free.
  • Self-paced: start any time.

Disadvantages

  • No certificate, no grading and no forum: you need to be self-driven.
  • Many courses are recordings of past semesters and some have notes only, no videos.
  • No certificate.

Some points apply to every course of this kind; see how we rank.

Free to learn

  • Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.

Taught by

  • Prof. Brian Charles Williams
  • Prof. Emilio Frazzoli

Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.

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