Simon Fraser University
Engaging the World

Course Outlines

Fall 2024 - CMPT 310 D200

Introduction to Artificial Intelligence (3)

Class Number: 7678

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 4 – Dec 3, 2024: Thu, 8:30–11:20 a.m.
    Burnaby

  • Exam Times + Location:

    Dec 14, 2024
    Sat, 7:00–9:30 p.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:

This course is a broad introduction to the techniques, methodology, and theory of Artificial Intelligence. Depending on time and class interest, the following topics will be discussed.

Topics

  • Meaning, goals, methods and languages of Artificial Intelligence.
  • Knowledge representation.
  • Inference in first order logic; logic programming.
  • Intelligent searching and planning.
  • Natural Language Understanding.
  • Game-playing.
  • Machine learning (e.g. neural networks, decision trees).
  • Philosophical foundations, Ethical Issues, and future expectations.

COURSE-LEVEL EDUCATIONAL GOALS:

Students be warned that this is a very algorithms-intensive course. Students are expected to be familiar with Python programming language since all programming projects are done in this language. 
Students will gain core understanding of the base algorithms such as Search in an informed or uninformed, deterministic or probabilistic agent environment. Students gain theoretical and practial understanding of how an intelligent agent reasons based on the environment events, goals, and the restrictions to efficiently find solutions either as a full solution or as an incremental step towards the best available solution. Student will be instroduced to the basics of Artificial Neural networks and core principles of Machine Learning. Some of the common and current applications of AI will be discussed and presented as well.

Grading

NOTES:

Grading will be announced the first week of class.

Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).

Materials

MATERIALS + SUPPLIES:

Students are expected to have access to personal digital internet-connected device such as laptop/tablets or at least cell phone in class. All in class exams such as final or midterm/pop-quizes, need the digital device to complete and upload. 
Students are expected to have pen and paper to do in class quick practices as required for examples and exercises in class.

REQUIRED READING:

  • Artificial Intelligence: A Modern Approach (3rd Edition)
  • Stuart Russell, Peter Norvig
  • Prentice Hall
  • 2009

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

RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.