Geophysical Inverse Theory
Geophysical Inverse Theory covers the application of inverse methods to geophysical measurements of the structure of the earth.
Summary
Recent recorded grades — Spring 2015: 3.79 GPA, 100.0% A/AB (n=7 letter grades); Spring 2017: 3.62 GPA, 87.5% A/AB (n=8 letter grades); Spring 2024: 3.83 GPA, 100.0% A/AB (n=6 letter grades).
What you’ll be able to do
Discuss fundamental similarities and differences between inverse methods, as well as their benefits and drawbacks.
Determine estimation or inversion approaches that are appropriate for a particular geoscience-relevant problem.
Apply appropriate inverse methods to geoscience problems such as seismic tomography, electrical resistivity imaging, source location estimation, and image processing.
Evaluate solutions to parameter estimation and inverse problems using concepts such as bias, null spaces, uncertainty, stability, resolution, nonlinearity, and over/under-fitting.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
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- Graduate/professional standing
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 |
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Meeting source records
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Student experience
the class
Recent recorded grades — Spring 2015: 3.79 GPA, 100.0% A/AB (n=7 letter grades); Spring 2017: 3.62 GPA, 87.5% A/AB (n=8 letter grades); Spring 2024: 3.83 GPA, 100.0% A/AB (n=6 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Fundamental similarities and differences between inverse methods, including their benefits and drawbacks.
- Determining estimation or inversion approaches appropriate for specific geoscience-relevant problems.
- Seismic tomography, electrical resistivity imaging, source location estimation, and image processing.
Skills
- Applying inverse methods to geoscience problems including seismic tomography, electrical resistivity imaging, source location estimation, and image processing.
- Evaluating solutions to parameter estimation and inverse problems using concepts like bias, null spaces, uncertainty, stability, resolution, nonlinearity, and over/under-fitting.
Grades
Latest available · Spring 2024— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2024
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
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Grade history
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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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"task_version": "17",
"output_id": "25f68b0d31b87eb4fbca6154aeaa7ed744ca0ae4b62172478eb508bef07bd1c4",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}