Spring 2023 - CMPT 310 D100
Introduction to Artificial Intelligence (3)
Class Number: 6578
Delivery Method: In Person
Course Times + Location:
Tu 11:30 AM – 2:20 PM
EDB 7618, Burnaby
Exam Times + Location:
Apr 17, 2023
8:30 AM – 11:30 AM
SWH 10081, 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.
- Game playing
- Reasoning under uncertainty (probability)
- Bayesian networks
- Machine learning
To be discussed the first week of classes
MATERIALS + SUPPLIES:
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
Artificial Intelligence: A Modern Approach (3rd Edition), Stuart J. Russell, Peter Norvig, Prentice Hall, 2010
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.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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