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Course information

Course details
Grading
Use of AI tools
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Lesson 1

Lesson 1 overview
Course environment
A brief introduction to NumPy
Basic statistical terms and concepts
Uncertainty
Reporting measurements
The normal distribution
Exercise 1

Lesson 2

Lesson 2 overview
Least squares regressions
Linear correlation
Goodness-of-fit calculations
Exercise 2

Lesson 3

Lesson 3 overview
The diffusion equation
Basics of thermochronology
Python concepts
Exercise 3

Lesson 4

Lesson 4 overview
Geological advection
Solving the advection-diffusion equation
Advection and heat transfer
Exercise 4

Lesson 5

Lesson 5 overview
Rocks and ice as viscous materials
Viscous flow down an incline
Theory for Exercise 5
Exercise 5

Lesson 6

Lesson 6 overview
Low-temperature thermochronology
Intro to Exercises 6 and 7
Exercise 6

Lesson 7

Lesson 7 overview
Exercise 7

Final report

Final paper information
Scientific articles for the final paper
Final paper template

Resources

Glossary
Installing Python

Repository
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.rst

Intro to Exercises 6 and 7

Intro to Exercises 6 and 7#

Slides from the lecture introducing Exercises 6 and 7 can be found below.

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Low-temperature thermochronology

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Exercise 6

© Copyright 2016-2025, D. Whipp and A.-K. Maier, Department of Geosciences and Geography, University of Helsinki..

Last updated on Dec 10, 2025.