Fall 2026

Geoscience Data Analysis

GEOSCIENCE DATA ANALYSIS introduces applied data analysis fundamentals for solving practical geoscience problems using real-world data.

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Prerequisites

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MATH 222 or graduate/professional standing

  • take one
GEOSCI 340

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Fall 2026

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Fall 2026

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Student experience

the class

Introduction to the fundamentals of applied geoscience data analysis, focusing on solving practical problems using real real-world data. Covers applied data analysis topics that are essential across a wide range of geoscience fields, including geophysics, geochemistry, hydrogeology, structural geology, sedimentology, geochronology, glacial geology, and geomorphology. Covers the use of example geoscience data sets to display and describe data; calculate and propagate uncertainties; test hypotheses; fit functions to data with linear regression and multiple linear regression; account for artifactual and serial correlation; analyze time series and directional data; and design experiments to optimize collection of rock, soil, and water samples.

difficulty & workload

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Topics

  • Geoscience fields including geophysics, geochemistry, and hydrogeology.
  • Uncertainty calculation and propagation.
  • Linear and multiple linear regression.
  • Time series and directional data analysis.

Skills

  • Display and describe geoscience data.
  • Calculate and propagate uncertainties.
  • Test hypotheses.
  • Fit functions to data using linear and multiple linear regression.
  • Account for artifactual and serial correlation.
  • Analyze time series and directional data.
  • Design experiments to optimize sample collection.

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UW–Madison

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "ae86065b2a3074ab6686de33cc68fdded2b192d8ab1b5f2c90092f7b42d7d941",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}