STATISTICAL FOUNDATIONS OF BIOMEDICAL INFORMATICS
Session
Academic Term
Class Number
16258
Career
Graduate
Dates
1/19/2021 - 5/1/2021
Units
3 units
Grading
Grad Letter Grade
Description
This is an introductory probability and statistics course intended primarily for biomedical informatics students. The first part of the course covers probability, including basic probability, random variables, univariate and multivariate distributions, transformations, expectation, numerical integration, and approximations. The second part of the course covers statistics, including study design, classical parametric inference, hypothesis testing, Bayesian inference, non-parametric methods, classification, ANNOVA, and regression. We will use r for statistical computing and applications. Examples and applications will focus on biomedical informatics and related discipline.
Class Details
Instructor(s)
Douglas Landsittel
Meets
TuTh 8:30AM - 10:00AM
Meeting Dates
01/19/2021 - 05/01/2021
Room
407A The Offices at Baum
Campus
Pittsburgh Campus
Location
Pittsburgh Campus
Components
Lecture Required
Textbooks/Materials
Textbooks to be determined
Class Availability
Status
Open
Seats Taken
9
Seats Open
6
Class Capacity
15
Unrestricted Seats
6
Restricted Seats
0
Wait List Total
0
Wait List Capacity
0