CSCI 446
Artificial Intelligence
Fall 2018

Montana Tech
Computer Science & Software Engineering

Schedule  |  Assignments  |  Course Syllabus  |  Course Project Information  |  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
1 Mon. 8/27
- Wed. 8/29
2 Fri. 8/31
- Mon. 9/3 NO CLASS - Labor Day Holiday
- Wed. 9/5
3 Fri. 9/7
4 Mon. 9/10
- Wed. 9/12
5 Fri. 9/14
6 Mon. 9/17
- Wed. 9/19
7 Fri. 9/21
8 Mon. 9/24
- Wed. 9/26
9 Fri. 9/28
10 Mon. 10/1
- Wed. 10/3
11 Fri. 10/5
12 Mon. 10/8
- Wed. 10/10
13 Fri. 10/12
14 Mon. 10/15
- Wed. 10/17
15 Fri. 10/19
16 Mon. 10/22
- Wed. 10/24
17 Fri. 10/26
18 Mon. 10/29
- Wed. 10/31
19 Fri. 11/2
20 Mon. 11/5
- Wed. 11/7
21 Fri. 11/9
- Mon. 11/12 NO CLASS - Veteran's Day Holiday
- Wed. 11/14
22 Fri. 11/16
23 Mon. 11/19
- Wed. 11/21 NO CLASS - Thanksgiving Break
- Fr. 11/23 NO CLASS - Thanksgiving Break
24 Mon. 11/26
- Wed. 11/28
25 Fri. 11/30
26 Mon. 12/3
- Wed. 12/5
27 Fri. 12/7
- Final Exam
0 Mon. 8/21 Introduction to AI PDF Ch. 1
1 Wed. 8/23 Agents and State Spaces PDF Ch. 2 Assignment 1: State Spaces
2 Fri. 8/25 Uninformed Search PDF Ch 3.1-3.4
3 Mon. 8/28 Heuristic Search PDF Ch 3.5-3.7
4 Wed. 8/30 Local Search PDF Ch 4 Assignment 2: Search
5 Fri. 9/1 Adversarial Search PDF Ch 5.1-5.4
- Mon. 9/4 HOLIDAY: Labor Day - NO CLASS
6 Wed. 9/6 Stochastic Search PDF Ch 5.5-5.7
7 Fri. 9/8 Constraint Satisfaction I PDF
PDF		 Ch 6.1-6.3
8 Mon. 9/11 Constraint Satisfaction II PDF Ch 6.4-6.5
- Wed. 9/13 Industry Advisory Board Meeting - NO CLASS
9 Fri. 9/15 Propositional Logic PDF Ch 7.1-7.4 Assignment 3: Constraint Satisfaction
10 Mon. 9/18 Inference in Propositional Logic PDF Ch 7.5-7.7
11 Wed. 9/20 Inference Examples PDF
12 Fri. 9/22 First Order Logic PDF Ch 8
13 Mon. 9/25 Inference in First Order Logic PDF Ch 9 Assignment 4: Logical Inference | Solution
14 Wed. 9/27 Fuzzy Logic PDF
- Fri. 9/29 Project Discussion
- Mon. 10/2 Review for Exam I PDF
- Wed. 10/4 Exam I
15 Fri. 10/6 Inductive Learning - Decision Trees PDF Ch 18.1 - 18.3
16 Mon. 10/9 Inductive Learning - Rules PDF
17 Wed. 10/11 Instance Based Learning: Clustering and Case Based PDF
18 Fri. 10/13 Neural Networks PDF
19 Mon. 10/16 Genetic Algorithms PDF Assignment 5: Machine Learning
Assignment 7: Paper
Assignment 8: Presentation
20 Wed. 10/18 Classical Planning I PDF Ch 10
22 Fri. 10/20 Uncertainty/Probability PDF Ch 13.1-13.4
21 Mon. 10/23 Bayes Theorem PDF Ch 13.1-13.4
22 Wed. 10/25 Bayesian Networks - Independence PDF Ch 14.1 - 14.2
23 Fri. 10/27 Bayesian Networks - Inference PDF Ch 13.5-13.6
25 Mon. 10/30 Bayesian Networks - Sampling PDF Ch 14.3
26 Wed. 11/1 Value of Perfect Information PDF Ch 14.4
27 Fri. 11/3 Philosophical Issues: Future Directions PDF Ch. 26, 27
- Mon. 11/6 Review for Exam PDF
- Wed. 11/8 Exam 2
- Fri. 11/10 HOLIDAY: Veteran's Day - NO CLASS
28 Mon. 11/13 Michael Fryer - Genetic Algorithms
Joseph Beaudry - Decision Trees		 Decision Trees
29 Wed. 11/15 Kendall Schmit - Rule Based Learning
Mohammed Alobayshi - Instance Based Learning
30 Fri. 11/17 Alexander Reid - Clustering
Max Austin - Decision Trees		 Clustering,
Decision Trees
31 Mon. 11/20 Payson Lippert - Instance Based Learning
Darron Martinez - Rule Based Learning		 Instance Based Learning
- Wed. 11/22 HOLIDAY: Thanksgiving - NO CLASS
- Fri. 11/24 HOLIDAY: Thanksgiving - NO CLASS
32 Mon. 11/27 Nathaniel Lewis - Clustering
Vernon Foley - Artificial Neural Networks		 Neural Networks,
Clustering
33 Wed. 11/29 Kodi Neumiller - Artificial Neural Networks
Trevor Brooks - Genetic Algorithms		 Genetic Algorithms,
Neural Networks
- Fri. 12/1 Project Competition And the winner is:
Alex Reid with ClusterBoy!!!
- Mon. 12/4 Review for Final Exam PDF
- Mon. 12/11, 3:00-5:00 Final Exam

Page last updated: August 17, 2018