Quizzes, Machine Problems, and Lectures

Quizzes

Every lecture will have a quiz on PrairieLearn, linked from the table below. Quizzes are due 23 hours after the end of the corresponding lecture, otherwise standard late penalties apply. Each quiz can be submitted as many times as you like; only your best score will be retained.

Machine Problems

There will be 11 machine problems, one per week. You’ll submit them on Gradescope. The assignment page for each MP will be linked from the table below. MPs are due at 23:59 Illinois time, on the date shown below; if you submit late, standard late penalties apply.

Lectures

The schedule of proposed lectures, and the associated links to quizzes and machine problems, is as follows. Readings are from Mackworth & Poole, 3rd edition. Readings are optional; all required material is covered on the slides, quizzes, and MPs.

Topic	Week	Day	Quiz	Slides	MP	Reading
Intro	1	W	17-Jan	Welcome & Intro		1.5
Deciding		F	19-Jan	Random Variables		9.1-2
	2	M	22-Jan	Decision Theory		7.2
		W	24-Jan	Naive Bayes	Probability	10.2.2
		F	26-Jan	Bayes Networks		9.3
Communicating	3	M	29-Jan	HMM		9.6.2
		W	31-Jan	Fairness	Naive Bayes	7.7
Learning		F	2-Feb	Learning		7.4
	4	M	5-Feb	Linear Regression		7.3.2
		W	7-Feb	Perceptron	HMM	7.3.2
		F	9-Feb	Softmax		8.1
	5	M	12-Feb	Multilayer Networks		8.2-3
		W	14-Feb	Pytorch Tutorial (mp4)	Perceptron	pytorch
Perceiving		F	16-Feb	Computer Vision		wikipedia
	6	M	19-Feb	ConvNets		8.4
		W	21-Feb	Explainable AI	Neural Nets	LRP
		F	23-Feb	Exam 1 Review
	7	M	26-Feb	No Lecture: Go to CBTF
Planning		W	28-Feb	Search		3.1-5
		F	1-Mar	A* Search		3.6-7
	8	M	4-Mar	Markov Decisions		12.5
		W	6-Mar	Minimax	Search	14.3
		F	8-Mar	Expectiminimax		14.3
		M	11-Mar	Spring Break
		W	13-Mar	Spring Break
		F	15-Mar	Spring Break
		M	18-Mar	No Class
		W	20-Mar	No Class
		F	22-Mar	Game Theory		14.4
	9	M	25-Mar	Repeated Games		Wikipedia
		W	27-Mar	Privacy	Minimax	Wikipedia
Understanding		F	29-Mar	Logic		15.3
	10	M	1-Apr	Unification		15.5
		W	3-Apr	Lexical Semantics	Repeated Games	8.5.1
		F	5-Apr	Transformers		8.5.4
Acting	11	M	8-Apr	Robotics		3.2
		W	10-Apr	Exam 2 Review
		F	12-Apr	No Class
	12	M	15-Apr	No Lecture: Go to CBTF
		W	17-Apr	No Class	Transformers
		F	19-Apr	No Class
	13	M	22-Apr	Reinforcement Learning		13.8
		W	24-Apr	Model-Free RL	MDP	13.4
		F	26-Apr	Speed of Learning		13.9
	14	M	29-Apr	Future of Work		Wikipedia
		W	1-May	Exam 3 Review	RL
	15	T	7-May	Exam 3