CMPT 310 D1

Artificial Intelligence Survey

CMPT 310

Simon Fraser University

Fall 2014

Inactive Links are Under Construction

Course Logistics

Instructor: Oliver Schulte
Office Location: TASC 1 9021.
Office Phone: 778-782-3390.
Office Hours: Friday 10:30 am-12 pm.
E-mail Office Hour: Monday 1-2 pm.

Teaching Assistant: Beidou Wang
Email: beidou.wang@gmail.com
Office Hours: Thursday 2:00-3:00 pm
Office Location: ASB9838_TA_3

Final Exam Date: ["final" has no due date specified], 12-3 pm.
Final Exam Place: SWH10081 Sewell Hall

Announcements

Assignments

• Assignment 1
• Assignment 2
• Assignment 3
• Assignment 4
• Assignment 5

FOL Resolution Line-by-line example.

Resources

• Syllabus.
• Course Schedule.
• Textbook website
• The 24x7 on-line book collection, for reference material.

Lecture Notes

• Chapter 1.
• Chapter 2.
• Introduction to Decision Theory.
• Chapter 3: Uninformed Search.
• Chapter 3: Informed Search
• Chapter 4:Local Search.
• Spreadsheet with Example for Gradient Descent and Newton-Raphson.
• Chapter 7a: Logic Agents
• Chapter 7b: Logical Inference
• Chapter 8: First-Order Logic
• Chapter 13: Probability and Reasoning Under Uncertainty. Updated with a slide on midterm information.
• Chapter 14: Bayesian Networks.
• Learning: Bayesian Networks and Decision Trees.
• Multiple Agents and Game Theory.
• Chapter 5: Adversarial Search.

Exam Resources

Midterm

You can use a cheatsheet. 1 page, letter size, both sides. No electronics. Material goes up to and including joint probabilities, see Course Schedule.

• Instructions and Grading Breakdown for Midterm.
• Sample Midterm 1 from another course.
• Sample Midterm 2 from another course.

Final Exam

• Final Exam Information.
• Final Exam Instructions.
• Sample Exam 1 from another course.
• Sample Exam 2 from another course.