Summer 2022 - CMPT 310 D100

Introduction to Artificial Intelligence (3)

Class Number: 3430

Delivery Method: In Person


  • Course Times + Location:

    Mo 8:30 AM – 9:20 AM
    SSCK 9500, Burnaby

    Th 8:30 AM – 10:20 AM
    SSCK 9500, Burnaby

  • Exam Times + Location:

    Aug 11, 2022
    12:00 PM – 3:00 PM
    WMC 3520, Burnaby

  • Prerequisites:

    CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.



A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language.


Artificial Intelligence (AI) is the part of computer science concerned with systems that learn, reason and make/support decisions. The goal of this course is to provide students with a survey of different aspects of artificial intelligence. A variety of approaches with general applicability will be developed. The first topic is searching for solutions to complex decision and planning problems (search strategies and heuristics). Symbolic logic will be presented as a formalism for representing knowledge in AI systems. Probability as a mechanism for handling uncertainty in AI will be presented, with a focus on Bayesian networks. We will introduce basic concepts of machine learning, including as decision trees and neural nets.


  • Search
  • Logic
  • Game playing
  • Reasoning under uncertainty (probability)
  • Bayesian networks
  • Machine learning



To be discussed the first week of classes



  • Artificial Intelligence: A Modern Approach
  • 3rd Edition
  • Stuart J. Russell, Peter Norvig
  • Prentice Hall
  • 2010

ISBN: 9780136042594

Registrar Notes:


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