CompSci.367 Lectures

The lectures will cover the following topics, but the exact order and time of delivery may vary. You are strongly encouraged to read the extra background material in the resources section of the course website.

Week 1 (Philosophy & History of AI)

1. Introduction to CS 367 & AI History 
2. Horizon AI video - "The Thinking Machine" Chinese Room notes
3. Discussion of AI video, Symbolic Reasoning & Prolog

Week 2 (knowledge-based systems)

1. Knowledge Representation  Rule-Based Reasoning
2. Knowledge Representation Frames, Semantic Networks, Conceptual Graphs
3. Knowledge Engineering, knowledge analysis, intermediate knowledge representations, the Knowledge Level

Week 3 (knowledge engineering)

1. CLIPS lecture - CLIPS documentation (self directed study)
2. Knowledge Elicitation – The KE bottleneck. Knowledge Elicitation techniques

Week 4

1. Ontologies 1
2. Case-Based Reasoning introduction

Week 5 (Machine Learning)

1. All Pat Riddle's lectures and assignment are in this directory here

Week 6 (Machine Learning)

 

Mid-semester break.....

 

Week 7 (Neural Networks)

 

Week 8 (Genetic Algorithms)  

 

1. All of Mike Barley's lectures and assignment are in this directory here

Week 9 (Search)

 

Week 10 (Planning)

Week 11 (Planning)

 

Week 12 

1. Exam Review

end of lectures

last updated 11/08/08