CSCI 446
Artificial Intelligence
Fall 2016

Montana Tech
Computer Science & Software Engineering

Schedule  |  Assignments  |  Course syllabus  |  Moodle

SCHEDULE

This page lists the dates of all the lectures with links to slides and examples from the lecture (if any). Readings are in the book Artificial Intelligence: A Modern Approach (3rd edition) by Russell and Norvig. To get the most out of lectures, skim the reading beforehand (or at least look at the pictures!). You may also want to print out the slides before lecture so you can write and highlight on them during lecture. After the lecture, go back and read the pages carefully.

#DateTopicSlidesReadingAssignments
0 Mon. 8/22 Introduction to AI PDF Ch. 1
1 Wed. 8/24 Agents and State Spaces PDF Ch. 2 Assignment 1: Agents
Agent Asmt. Example
2 Fri. 8/26 Uninformed Search PDF Ch 3.1-3.4
3 Mon. 8/29 Heuristic Search PDF Ch 3.5-3.7
4 Wed. 8/31 Local Search PDF Ch 4
5 Fri. 9/2 Adversarial Search
AlphaBeta Pruning Algorithm
Alpha Beta Walkthrough		 PDF Ch 5.1-5.4
- Mon. 9/5 HOLIDAY: Labor Day - NO CLASS
- Wed. 9/7 Industry Advisory Board - NO CLASS
6 Fri. 9/9 Stochastic Search PDF Ch 5.5-5.7
7 Mon. 9/12 Constraint Satisfaction I PDF
PDF		 Ch 6.1-6.3
8 Wed. 9/14 Constraint Satisfaction II
Domination/Risk Source Code		 PDF Ch 6.4-6.5
9 Fri. 9/16 Propositional Logic PDF Ch 7.1-7.4 Assignment 2: Search
Assignment 3: Constraint Satisfaction Problems
10 Mon. 9/19 Inference in Propositional Logic PDF Ch 7.5-7.7
11 Wed. 9/21 First Order Logic PDF Ch 8
12 Fri. 9/23 Inference in First Order Logic PDF Ch 9
13 Mon. 9/26 Fuzzy Logic PDF
14 Wed. 9/28 Classical Planning PDF Ch 10
15 Fri. 9/30 Classical Planning (continued) PDF Ch 10 Assignment 4: Logic
- Mon. 10/3 Review for Exam I PDF
- Wed. 10/5 Exam I
16 Fri. 10/7 Go over exam
Uncertain Reasoning		 PDF Ch 13.1-13.2
17 Mon. 10/10 NO CLASS - ABET VISIT
18 Wed. 10/12 Inference Under Uncertainty PDF Ch 13.3-13.4
19 Fri. 10/14 Bayes Theorem PDF Ch 13.5-13.6
20 Mon. 10/17 Bayes Nets PDF Ch 14.1 - 14.2
21 Wed. 10/19 Bayes Nets - Independence PDF Ch 14.3
22 Fri. 10/21 Bayes Nets - Inference PDF Ch 14.4 Assignment 6: Paper
Assignment 7: Presentation
23 Mon. 10/24 Bayes Nets - Sampling
Value of Perfect Information		 PDF
PDF		 Ch 14.5
24 Wed. 10/26 Value of Perfect Information PDF Ch 16.1 - 16.6
25 Fri. 10/28 Learning from Observations - Decision Trees PDF Ch 18.1 - 18.3
- Mon. 10/31 Learning from Observations - Rules PDF
- Wed. 11/2 Review for Exam II PDF
Bayes Example
- Fri. 11/4 Exam II
- Mon. 11/7 Go over exam Assignment 5: Machine Learning
- Wed. 11/9 Project Discussion Final Project
- Fri. 11/11 HOLIDAY: Veteran's Day - NO CLASS
26 Mon. 11/14 Omar Alenezi - Robotics PDF
27 Wed. 11/16 Jesse Anderson - Genetic Algorithms PDF
28 Fri. 11/18 Neural Networks PDF
29 Mon. 11/21 Andrew Young - Swarm Behavior PDF
- Wed. 11/23 HOLIDAY: Thanksgiving - NO CLASS
- Fri. 11/25 HOLIDAY: Thanksgiving - NO CLASS
30 Mon. 11/28 Nathan Starkel - Philosophical Issues PDF
31 Wed. 11/30 Kendall Schmit - Intelligent Agent Societies PDF
- Fri. 12/2 Dueling Creatures Tournament
- Mon. 12/5 Review for Final Exam PDF
- Fri. 12/9, 11:30-1:30 Final Exam

Page last updated: December 07, 2016