APPLIED STATISTICS FOR BIOMEDICAL ENGINEERS

BME 325

Course Description

Learn and apply the fundamentals of descriptive and inferential statistics to analyze data and present the results in appropriate graphical formats. Emphasis will be on applications commonly encountered in biomedical engineering including t-tests, linear regression, analysis of variance, diagnostic tests, ROC curves, and methods for graphing and presenting data. Examples and practice problems will be drawn from biomedical research. Learn how to analyze data and interpret statistical analysis presented in research papers, and will get practical hands-on experience implementing these tools during class in a computer lab setting.

Prerequisties

Declared in Biomedical Engineering and MATH 222

Satisfies

STAT 303 , CIVENGR 516 , ME 536 , and STAT 333

Credits

Offered

Not Applicable

Grade Point Average

3.73

-0.58% from Historical

Completion Rate

98.33%

-0.99% from Historical

A Rate

70%

0.88% from Historical

Class Size

2.04% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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