Statistical Learning 1

0.5 credits · Undergraduate

This course introduces the fundamental concepts of statistical inference and statistical learning. Topics include random variable, sampling theory, experimental design and A/B testing, and hypothesis testing frameworks. Prerequisite: AIST-COIS 1000H. Not open to students with credit for MATH 1051H.