Simon Fraser University
Engaging the World

Course Outlines

Spring 2023 - CMPT 310 D100

Introduction to Artificial Intelligence (3)

Class Number: 6578

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 4 – Apr 11, 2023: Tue, 11:30 a.m.–2:20 p.m.
    Burnaby

  • Exam Times + Location:

    Apr 17, 2023
    Mon, 8:30–11:30 a.m.
    Burnaby

  • Prerequisites:

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

Description

CALENDAR DESCRIPTION:

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.

COURSE DETAILS:

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.

Topics

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

Grading

NOTES:

To be discussed the first week of classes

Materials

MATERIALS + SUPPLIES:

Reference Books:
Artificial Intelligence: Foundations of Computational Agents, David L. Poole and Alan Mackworth, New York : Cambridge University Press, 2010, 9780521519007

Artificial Intelligence (6th Edition). Structures and Strategies for Complex Problem Solving, George Luger, Addison Wesley, 2009, 9780321545893

REQUIRED READING:

Artificial Intelligence: A Modern Approach (3rd Edition), Stuart J. Russell, Peter Norvig, Prentice Hall, 2010
ISBN: 9780136042594

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html