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 13:00 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:

Topic	Week	Day	Quiz	Slides	MP	Reading
Intro	1	W	18-Jan	Welcome & Intro		2.1-5
Deciding		F	20-Jan	Random Variables		12.1-7
	2	M	23-Jan	NO CLASS		16.1-4
		W	25-Jan	Decision Theory	Probability	20.2.1-2;23.1.1
		F	27-Jan	Naïve Bayes		18.2
	3	M	30-Jan	Fairness		27.3.3
Learning		W	1-Feb	Learning	Naïve Bayes	19.1-5;7
		F	3-Feb	Linear Regression		19.6
	4	M	6-Feb	Linear Classifiers		19.6
		W	8-Feb	Multilayer Networks	KNN	21.1-2
		F	10-Feb	PyTorch		Pytorch tutorial
	5	M	13-Feb	Optimization		4.1-2
		W	15-Feb	Privacy	Neural Nets	27.3.2
		F	17-Feb	Exam 1 Review (notes: p1; p2; p3; p4)
	6	M	20-Feb	Exam 1
Planning		W	22-Feb	Search		3.1-4
		F	24-Feb	A* Search		3.5-6
	7	M	27-Feb	Minimax		5.1-3
		W	1-Mar	AI Safety	Search	27.3.7
Understanding		F	3-Mar	Logic		7.4;8.1-4
	8	M	6-Mar	Unification		9.1-5
		W	8-Mar	Bayesian Networks	Minimax	13.1-3
		F	10-Mar	Transparency		27.3.4
Communicating	9	M	20-Mar	HMM		14.1-3
		W	22-Mar	Lexical Semantics	Logic	23.1-4
		F	24-Mar	Transformers		24.1-6
	10	M	27-Mar	Consciousness		27.2;27.3.6
		W	29-Mar	Exam 2 Review (onenote)	HMM
		F	31-Mar	NO CLASS
	11	M	3-Apr	Exam 2
Perceiving		W	5-Apr	Computer Vision		25.1-5;26.1-4
		F	7-Apr	Convolutional Networks		21.3
	12	M	10-Apr	Kalman Filter		14.4
		W	12-Apr	NO CLASS	Perception
Acting		F	14-Apr	MDP		17.1-3
	13	M	17-Apr	Model-Based RL		22.1-2
		W	19-Apr	Model-Free RL	MDP	22.3
		F	21-Apr	Deep RL		22.4
	14	M	24-Apr	Actor-Critic Deep RL		22.5
		W	26-Apr	Robotics; onenote	RL	26.5-8
		F	28-Apr	Future of Work		27.3.5
	15	M	1-May	Final Exam Review (onenote)
		W	3-May	onenote
	16	T	9-May	Final Exam 8:00am