Meeting Schedule

Notes:

Homework, including reading assignments, will be listed the day of assignment. See the assignments page for more specific details on due dates, rules, and submission instructions.
Slack means space to catch up in case we fall behind. See this reference if you're confused about why this usage makes sense.

Date	Topic	Homework	Slides
08/26/24	Introduction	Required: Make sure you can access Ed (all announcements will be through Ed) Be prepared to discuss the following in in the next class (8/31): Reading: Computing Machinery and Intelligence Reading: Minds, Brains, and Programs Use ChatGPT (or similar LLM) to develop a novel (not something you found on the internet) example of unusual or surprising output. This should be a fun (safe for work!) example that you could share in class or on Ed. Optional reading: Russell and Norvig, AIMA, Chapters 1-2	intro honesty
08/28/25	Goals of AI	Required reading Foundations of Computer Science Sections 4.9-4.12 Optional reading: The Cancer Cluster Myth Dutch Book Wikipedia Entry	AIBloopers GoalsOfAI ChineseRoom
9/2/25	Probabilities	Bayesian Network Overview Variable Elimination Algorithm	probability
9/4/25	Probabilities, continued
9/9/25	Bayesian Networks		bnets
9/11/25	Bayesian Networks II
9/16/25	Hidden Markov Models	Read: Rabiner HMM Tutorial HW1 assigned, due, 9/25	HMMs
9/18/25	Finish HMMs
9/23/25	Particle Filters	Particle Filters in Robotics	ParticleFilters
9/25/25	Introduction to Machine Learning	Read through page 12 of Andrew Ng's notes (sections 1-3)	MLIntro.pdf
9/30/25	Linear Regression	Read 3.1-3.3 in Hastie Tibshirani, and Friedman HW2 assigned, due 10/10	regression
10/2/25	Choosing Predictions	Read 3.4 in Hastie Tibshirani, and Friedman	ChoosingPredictions
10/5/25	Linear Classifiers	Read chapter 4 in Hastie Tibshirani, and Friedman	Linear Classifiers
10/9/25	Clustering	(no reading for clustering)	clustering
10/16/25	Neural Networks	Read Chapter 6 of Deep Learning by Goodfellow, Bengio, and Courville. Skim chapter 7	NeuralNetworks
10/21/25	Midterm
10/23/25	Deep Networks	Read Attention is all you need	DeepLearning
10/28/25	Attention/Transformers	HW3 assigned, due 11/6	Attention
10/30/25	Decision Theory	Read the Simple Decisions Chapter from Algorithms for Decision Making	Decisions
11/4/25	MDPs	Read Chapter 3 and 4 from Sutton and Barto	MDPs
11/6/25	MDPs II
11/11/25	MDPs III
11/13/25 RL	Reinforcement Learning	HW4 assigned, due 11/20/25 Read Chapter 3 and 4 from Sutton and Barto	RL
11/18/25	Reinforcement Learning II Deep RL?	David Silver's Deep RL Slides Human-level control through deep reinforcement learning	DeepRL
11/20/25 - end	Linear Programming and Game Theory	Linear Programming, A Concise Introduction, sections 1 and 2 Game Theory Introduction> sections 1-3 HW5 assigned, due 12/4	LPandGames
12/13/25	Final Exam 9:00 AM to 12:00PM	Final Exam Schedule We will not administer the exam early to accomodate travel schedules