Instructor:
Amanda Ellis
Amanda Ellis
675
Credits:
3.0
001
Building:
Multi-Disciplinary Science Building
TBD
Room:
Rm.222
TBD
Semester:
Fall 2023
Start Date:
End Date:
Name:
Sim Based Inference For Health Data Sci
Requisites:
Prereq: BST 600 or consent of instructor and two semesters of calculus.
Class Type:
LEC
LEC
12:00 pm
TBD
12:50 pm
TBD
Days:
MW
TBD
Note:
BST 675-001 meets in-person, on campus on Mondays and Wednesdays. The remaining course content will be delivered asynchronously online.
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.
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.
BST