Mathematical Methods in Medical Physics
Covers mathematical fundamentals for medical physics, focusing on signal analysis and mathematical optimization.
Summary
Recent recorded grades — Fall 2023: 3.79 GPA, 88.2% A/AB (n=17 letter grades); Fall 2024: 3.64 GPA, 81.0% A/AB (n=21 letter grades); Fall 2025: 3.79 GPA, 88.2% A/AB (n=17 letter grades).
What you’ll be able to do
Summarize the utility of signal analysis in one and several dimensions
Identify and apply convolutions and Fourier Transforms in one and several dimensions
Apply the properties of the Fourier Transform in medical physics and other biomedical settings
Illustrate the limitations of the Fourier transform, and recall the advantages of alternative signal analysis tools (e.g. wavelet transform)
Distinguish between types of optimization problems, including convex vs non-convex, and unconstrained vs constrained
Recognize the relative performance of basic optimization algorithms
Formulate image reconstruction as an optimization problem
Formulate therapy planning as an optimization problem
Implement practical optimization algorithms using computational methods
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course map(MATH 234 and 319), (MATH 234 and 320), or MATH 376 and (PHYSICS 202 or 208), graduate/professional standing, or declared in Medical Physics VISP
- take all
- take all
- MATH 376
- take one
- graduate/professional standing
- declared in Medical Physics VISP
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- All of
- All of
- graduate/professional standing
- declared in Medical Physics VISP
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 3.79 GPA, 88.2% A/AB (n=17 letter grades); Fall 2024: 3.64 GPA, 81.0% A/AB (n=21 letter grades); Fall 2025: 3.79 GPA, 88.2% A/AB (n=17 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Signal analysis and mathematical optimization
- Fourier Transform properties in biomedical settings
- Computational implementation of optimization algorithms
Skills
- Applying convolutions and Fourier Transforms in one and several dimensions
- Distinguishing between types of optimization problems
- Formulating image reconstruction as an optimization problem
- Formulating therapy planning as an optimization problem
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Raw records
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Original comments behind the course and instructor summaries.
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "0d815b63ffb2014d00781d77754a097b7c5906f2f10a60d961dadd9ca8f0264c",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}