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. Ä¢¹½ÊÓƵ 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.
Prerequisite: STA 2000 and (STA 3000 or CIS 2300 or MTH 3300)