CMPT 310 D1

Artificial Intelligence Survey

Resources

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

Lecture Notes

• Chapter 1
• Chapter 2
• Chapter 3: Uninformed Search
• Chapter 3: Informed Search
• Chapter 4:Local Search.
• Spreadsheet with Example for Gradient Descent and Newton-Raphson.
• Chapter 5: Adversarial Search.
• Chapter 6: Constraint Satisfaction
• Chapter 7
• Chapter 8
• Inference in First-Order logic
• Logical Inference
• Chapter 13
• Chapter 14

Exam Resources

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

Assignments

• Assignment 1
• Assignment 2. Revised. Due June 22.
• Assignment 3, Beta version.
• Assignment 4