Artificial Intelligence: Principles and Techniques

CS221

Stanford School of Engineering


Description

Artificial Intelligence has emerged as an increasingly impactful discipline in science and technology. AI applications are embedded in the infrastructure of many products and industries search engines, medical diagnoses, speech recognition, robot control, web search, advertising and even toys.

This introductory course provides a broad overview of modern artificial intelligence. Learn how machines can engage in problem solving, reasoning, learning, and interaction. Design, test and implement algorithms. Gain an appreciation of this dynamic field.

Prerequisites

CS103, CS106B or CS106X, CS107 and CS109 (algorithms, probability and programming experience)

Topics include

  • Search
  • Constraint satisfaction
  • Markov decision processes
  • Planning and game playing
  • Machine learning
  • Graphical models
  • Logic

Note on Course Availability

This course is typically offered Autumn and Spring quarters.

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

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