Spring 2027

Geodynamic Modeling

Introduction to geodynamic modeling, covering turning geoscientific observations into numerical models and interpreting results, with a focus on the Earth's interior and surface.

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Summary

What you’ll be able to do

  • Formulate and simplify idealized models for geodynamic problems.

  • Employ standard numerical methods and existing numerical models to solve problems arising in geodynamic modeling.

  • Visualize and analyze geodynamic model outputs.

  • Analyze and identify the dynamical behaviour of geodynamic systems.

Source: UW Guide 1 UW Guide 2

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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
GEOSCI/GLE 780

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  • Graduate/professional standing

Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Introduction to modeling in geoscience, focusing on the process of turning geoscientific observations into numerical models, and the interpretation and characterization of these results. Sample problems from geoscientific topics will be used to illustrate the formulation, simplification, solution, and analysis of typical problems encountered in modeling in geosciences. Different techniques that arise in the solution of these problems will be introduced and practiced on typical geodynamic problems, with particular focus on problems arising in modeling of the Earth's interior and surface.

difficulty & workload

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Topics

  • Turning geoscientific observations into numerical models
  • Formulation, simplification, solution, and analysis of geoscientific modeling problems
  • Modeling of the Earth's interior and surface

Skills

  • Formulating and simplifying idealized models for geodynamic problems
  • Employing standard numerical methods and existing numerical models to solve geodynamic problems
  • Visualizing and analyzing geodynamic model outputs
  • Analyzing and identifying the dynamical behaviour of geodynamic systems

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "2c878e5fc627d75f22d67b7ee3de9f36f44bd08d4fb4e11a688045e104c08b78",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}