CMSI 3300 - Artificial Intelligence

Professor Andrew Forney • Andrew.Forney[at]lmu.edu • Fall 2026

Welcome to CMSI-3300 9 / 1 / 26

If you're reading this then you've successfully found the course page for CMSI 3300! Check this page frequently for announcements that are relevant to the course, including notes, homework assignments, and practice problems.

First things first, please read through the course syllabus located here (or in the Materials tab above).

Lecture Notes
Date	Lecture Subject
Lecture 6-1 10 / 6 / 26	The Price of Knowledge Is the juice worth the squeeze? Let's find out!
Lecture 5-1 9 / 29 / 26	Utilitarianism 2.0 Utility Theory and Decision Networks! Lecture Video (5-2) Lecture Video (5-1)
Lecture 4-2 9 / 24 / 26	The Probabilities are Endless Exact inference in Bayesian Networks! Intuition, basics, efficiency improvements, and examples.
Lecture 4-1 9 / 22 / 26	Separation Anxiety ...dispelled with Bayesian Network independence claims laid bare through d-separation! Lecture Video (4-2)
Lecture 3-2 9 / 17 / 26	Bayeswatch Satisfying all of your Bayesal instincts (beginnings of Bayesian Networks). Lecture Video (4-1) Lecture Video (3-2)
Lecture 3-1 9 / 15 / 26	A Second Chance at Inference Beginnings of Probability Theory! Lecture Video (3-1)
Lecture 2-1 9 / 8 / 26	New: Here's Resolution Theorem proving and resolution -- inference proceduralized! Lecture Video (2-2) Lecture Video (2-1)
Lecture 1-2 8 / 28 / 26	A Proposition You Can't Refuse Propositional logic: syntax and semantics, and the beginnings of automated theorem proving. Lecture Video (1-2)
Lecture 1-1 9 / 1 / 26	Humble Beginnings to World Domination Skynet had to start somewhere! Introduction, syllabus review, and course overview. Lecture Video (1-1)

Homework
Number	Day Assigned	Due Midnight
Homework 1 - Are You Ever Infer It	9 / 10 / 26	10 / 6 / 26

Classwork
Number	Day Assigned	Due Midnight
Classwork 3 - Halcyon Bayes Solution	9 / 24 / 26	10 / 1 / 26
Classwork 2 - Mad Props Solution	9 / 10 / 26	9 / 17 / 26
Classwork 1 - Finding your (algo)Rhythm Solution [.py]	9 / 1 / 26	9 / 8 / 26

Supplementary Class Materials
Date	Item
10 / 6 / 26	Midterm Information All you need to know about the Midterm... well, all you need to know you need to know.
9 / 29 / 26	Probability and Statistics Quick Reference There is a 100 percent chance that this is useful to review.
9 / 1 / 26	Course Syllabus Contains vital information about the class, contact information, dates, homework, policies, and grading.
9 / 1 / 26	Development Environment Setup Instructions for how to install the software required for this course.
9 / 1 / 26	GitHub Tutorial Contains tutorials on how to use GitHub and several popular IDEs to be used in this class.
9 / 1 / 26	Python Style Guide The big parts of sweating the small stuff -- programmatic style do's and don'ts!