CMPT 310 D2

Artificial Intelligence Survey

CMPT 310

Simon Fraser University

Fall 2018

Inactive Links are Under Construction

Course Logistics

Instructor: Oliver Schulte
Office Location: TASC 1 9021.
Office Phone: 778-782-3390.
Office Hours: Wednesday 2-3 pm
E-mail Office Hour: Friday 2-3 pm.

Teaching Assistant: Richard Mar
Email: rkm3@sfu.ca
Office Hours: Thursday 2-3 pm
Office Location: ASB 9810

Announcements

Course Resources

• Course Schedule
• Course Syllabus
• Textbook website
• The 24x7 on-line book collection, for reference material.
• Installing Canvas Mobile. You need to install canvas to do the in-class quizzes.
• SFU Medical Excuse Form.

Assignments

• Assignment 1. Updated Sept 17, 2018.
  • Assignment 1 - PDF Version.
  • Assignment 1 - DOC Version.
• Assignment 2. Updated Oct 9, 2018.
  • Assignment 2 - PDF Version.
  • Assignment 2 - DOC Version.
• Assignment 3 - Part 1 (Individual).
  • Assignment 3 - PDF Version.
  • Assignment 3 - DOC Version.
• Assignment 4.
  • Assignment 4 - PDF Version.
  • Assignment 4 - DOC Version.
  • Belief and Decision Networks - JAR File.

Programming Assignments (not graded)

• Programming Assignment 2
• Programming Assignment 3
• Programming Assignment 4

Project

• Assignment 3 Project Updated.

Lecture Notes

• Chapter 1. Updated August 22, 2018.
• Chapter 2. January 12, 2018. Updated October 30, 2018.
• Introduction to Decision Theory. Updated January 12, 2017.
• Multiple Agents and Game Theory. Updated January 31, 2018.
• Chapter 4: Single Agents and Local Search. Updated January 31, 2018.
  • Spreadsheet with Example for Gradient Descent and Newton-Raphson.
• Chapter 3: Single Agents: Uninformed Search. Updated February 7, 2018.
• Chapter 3: Single: Agents Informed Search. Updated Feb 21, 2018.
• Chapter 5: Multiple Agents and Adversarial Search. Updated Feb 21, 2018.
• Learning
  • Decision Trees. Updated Feb 28, 2018.
  • Artificial Neural Nets. Updated November 8, 2018. Spreadsheet Example for Backpropagation.
• Chapter 22: Natural Language Processing. Updated March 14.
• Chapter 13: Probability and Reasoning Under Uncertainty. Updated March 23, 2018.
• Chapter 14: Bayesian Networks. Updated March 23, 2018.
• Chapter 20: Learning Bayesian Networks. Updated April 4, 2018.

Exam Resources

1. Exam Info
   1. Exam Information. Break down of topics. You can use a cheat sheet, 1 (one) 8.5 x 11 sheet of notes for reference, both sides. Updated November 20, 2018.
   2. Exam 1 Instructions.
   3. Exam 2 Instructions. Updated November 30, 2018.
2. Other Exams

• Sample Exam 1 from another course.
• Sample Exam 2 from another course.