Course Number
625.651
Next Offered
Summer 2024
Location
Online
Course Format
Virtual Live

A firm mathematical foundation for work in biostatistics is provided by a detailed consideration of four mathematical frameworks that can be applied throughout medicine. The class will focus on these framework ideas, which build on earlier coursework in statistics and probability, and their applications. The mathematical frameworks are Markov models, Gaussian processes, logistic regression, and Bayesian networks. The clinical settings to be explored will be associated with treatment, prognosis, and survival within the settings of asthma, diabetes, cancer, and epidemics. While the course is primarily mathematical, students will be expected to work within at least one programming environment (R or Python will be easiest, but Julia, MATLAB, and others will also be supported).

Course Prerequisite(s)

EN.625.603 Statistical Methods and Data Analysis or equivalent. Ability to work within R, Python, Julia, or MATLAB or similar code settings for analysis of data and code development.

Course Offerings

Open

Mathematical Models in Healthcare

625.651.8VL
05/29/2024 - 08/21/2024
Wed 4:30 p.m. - 7:35 p.m.
Notes: This course uses the Virtual Live format. All students participate online through live web-conferencing at the scheduled day and time. This is a live-online course in which students participate in live weekly lectures and discussions, and are able to interact extensively with the instructors. All classes are recorded for download and review.
Semester
Summer 2024
Course Format
Virtual Live
Location
Online
Cost
$5,270.00
Course Materials