DATA SCIENCE IN MEDICAL PHYSICS

BME/MEDPHYS 574

Course Description

Concepts and principles of statistics and machine learning for medical physics-related research problems. Topics covered include probability and independence, discrete and continuous random variables and statistical distributions, random sampling and central limit theorem, inference for means, variances, proportions, moment generating functions, maximum likelihood, hypothesis testing, ANOVA, linear regression, correlation and basic design of experiments with application to quality assurance, reliability, and reproducibility.

Prerequisties

(BME/HONCOL/MEDPHYS/PHYSICS 501 and BME/MEDPHYS 573 ) or (MATH/STAT 309 or MATH/STAT 431 ) or graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average

3.48

-6.05% from Historical

Completion Rate

100%

1.76% from Historical

A Rate

26.09%

-60.41% from Historical

Class Size

112.72% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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