BST675 - SIMULATION BASED INFERENCE FOR HEALTH DATA SCIENCE

College of Public Health

Credits: 3

BST 675 covers the fundamentals of probability and inference through simulation. Topics are focused on methodology used in health data science and include, but are not limited to, random variables, independence, discrete and continuous distributions, confidence intervals, hypothesis testing, and efficient estimators.

Prerequisite(s):
Prereq: BST 600 or consent of instructor and two semesters of calculus.