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Table of contents

• Artificial Intelligence (CM3020)
  • Professor(s)
  • Topics covered
  • Assessment
  • Past exams
  • Syllabus
• Resources
  • Notes

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Artificial Intelligence (CM3020)

This module is focused on Artificial Intelligence techniques. You will understand the historical development of Artificial Intelligence including search, vision and planning. You will become familiar with the foundations of agent-based approaches to software design, decision making and problem solving including under uncertainty. You will have an opportunity to apply Artificial Intelligence techniques to particular problems such as game playing and decision making.

Professor(s)

• Dr. Larisa Soldatova
• Dr. Matthew Yee-King

Topics covered

• Historical overview of Artificial Intelligence.
• Intelligent agents and environments (Part 1)
• Intelligent agents and environments (Part 2)
• Problem solving
• Knowledge representation, ontologies
• Uncertain knowledge and reasoning under uncertainty.
• Games and optimal decisions in games (Part 1)
• Games and optimal decisions in games (Part 2)
• Robotics
• Advanced Topics in AI

Assessment

One two-hour unseen written examination and coursework (Type I)

Past exams

See past exams here.

Syllabus

• Syllabus

Resources

Notes

• Visit this page of world-class/notes.

Reinforcement Learning / Deep RL:

• Deep RL Course. - Hugging Face

Genetic Algorithms:

• Hands-On Genetic Algorithms with Python - Second Edition. - Eyal Wirsansky