STA 4157
Exp Desg for Machine Learning · 3 credits · Spring 2027
Requirements
Prereq: [STA 2000 or (ENV/BIO/PSY 2100 & ZKDS student group)] and (STA 3000 or CIS 2300 or MTH 3300)
About this course
This course is designed to provide students with an understanding of the principles, methods, and practice of designing and analyzing experiments (A/B testing) to explore causality. The course will cover topics such as finding reference distribution, principles of designs, factorial designs, blocking and randomization. Students will be exposed to practical applications of experimental design using real-world datasets, the course will equip them with tools they can leverage to make decisions in real-world settings.
Seat status as of Oct 3, 4:49 AM ET. Seats can change between refreshes.
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