COMP3608 - Intelligent Systems

Course Outline

Quiz

• Problems
• Answer Sheet

Psets

1. Pset 1 Solutions

Assignemnts

1. A1
2. A2

Week #13 - Recap and Epilogue

Week #12 - No class, Good Friday

Week #11 - Bayes Networks and Bayes Thereom Part 2

• Recommended Reading: Murphy, Chapter 10

Week #10 - Bayes Networks and Bayes Thereom Part 1

• Recommended Reading: Murphy, Chapter 10

Week #9 - Convolutional Neural Networks

• Recommended Reading: Goodfellow et al., Chapter 9

Week #8 - Feed-foward Neural Networks

• Recommended Reading: Goodfellow et al., Chapter 6

Week #7 - Linear Regression and Logistic Regression

• Recommended Reading: Goodfellow et al., Chapter 5
• Recommended Reading: Deisenroth et al., Chapter 9
• Recommended Reading: Murphy, Chapter 7 and Chapter 8
• Slides

Week #6 - Machine Learning Basics Continued

• Recommended Reading: Flach, Chapter 1
• Slides

Week #5 - Machine Learning Basics

• Recommended Rading: Goodfellow et al., Chapter 5
• Recommended Reading: Deisenroth et al., Chapter 8
• Recommended Reading: Murphy, Chapter 1
• Recommended Reading: Russell and Norvig, Chapter 18
• Recommended Reading: Flach, Chapter 1
• Lab - Genetic Algorithm and Particle Swarm Optimisation

Week #4 - Metaheuristics Continued, Maximum Liklihood Estimation, Data Fitting, and Gradient Descent Lab

• Recommended Reading: Kochenderfer and Wheeler, Chapter 20, Section 1, 2
• Recommended Reading: Boyd and Vandenberghe, Chapters 12 and 13
• Recommended Reading: Goodfellow et al., Chapter 5, Section 5
• Slides - Lecture Part A
• Slides - Lecture Part B
• Lab - Gradient Descent

Week #3 - Metaheuristics and MiniZinc

• Recommended Reading: Kochenderfer and Wheeler Chapter 8 (Section 3) and Chapter 9 (Sections 2 and 4)
• Recommended Reading: MiniZinc Handbook
• Slides - Lecture
• Lab - MiniZinc and Optimisation Formulation

Week #2 - Optimization Concepts and Mathematical Preliminaries

• Recommended Reading: Kochenderfer and Wheeler Chapters 1 and 2
• Recommended Reading: Deisenroth et al.
  • Sections 2.1 - 2.4
  • Sections 3.1 - 3.3
  • Sections 5.1 - 5.4
  • Sections 6.1 - 6.3
• Slides - Lecture
• Lab

Week #1 - Intro to AI and Course Outline

• Recommended Reading: Russel and Norvig Chapters 1 and 2
• Slides