MSDS 629 - Experiments in Data Science

Unit(s): 2

A survey of statistical methods and best practices surrounding the design and analysis of experiments in the Jeld of data science. Topics covered include A/B tests, A/B/n tests, factorial and fractional factorial designs, response surface methodology and multi-armed bandit experiments.

Prerequisite: (MSAN 601 with a minimum grade of C or MSDS 601 with a minimum grade of C)
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences