Welcome to IntroQG 2021!#
Welcome to the website for the Introduction to Quantitative Geology course at the University of Helsinki. This course introduces students to how to study a handful of geoscientific problems using a bit of geology, math, and Python programming. The course is aimed at master’s students in geology or geophysics. This course is designed to build upon the Geo-Python course, which focuses exclusively on programming in Python. More info on this course can be found below.
Course goals#
This course aims to:
Introduce students to applications of the Python programming language to modelling Earth science data/processes
Develop basic programming skills through analysis of fundamental equations used in the Earth sciences
Present some common techniques for comparing geologic data to numerical model predictions
Course format#
The majority of this course will be spent in front of a computer working on exercises related to geological processes and data. Class meetings in 2021 will be on Zoom and you are expected to work on your own laptop or find a suitable substitute. Exercise support sessions will be held in person, if possible.
Typical exercises will involve a brief introduction followed by topical computer-based tasks. At the end of the exercises, you may be asked to submit answers to relevant questions, some related plots, and/or Python codes you have written or used. You are encouraged to discuss and work together with other students on the laboratory exercises, however the laboratory summary write-ups that you submit must be completed individually and must clearly reflect your own work.
Schedule#
Class |
Date |
Theme |
|---|---|---|
1 |
1.11.2021 |
Basic geostatistics |
2 |
8.11.2021 |
Comparing predictions to observations |
3 |
15.11.2021 |
The diffusion equation |
4 |
22.11.2021 |
The advection/wave equation |
5 |
29.11.2021 |
Viscous flow equations |
6 |
7.12.2021 |
Building a numerical model |
7 |
13.12.2021 |
Quantitative thermochronology |
For the details about what was covered in the Geo-Python course in Period I, please check the Geo-Python website.
Open access!
Materials for this course are open to everyone. In combination with the Geo-Python course, we aim to share our knowledge and help people start doing reproducible science more efficiently using Python.
Teachers: Use our stuff!
If you would like to use these materials as part of your own teaching or develop them further, we strongly support that. Please have a look at our licensing terms about how to do so.
Course information
Lesson 1
Lesson 2
Lesson 3
Lesson 4
Lesson 5
Lesson 6
Lesson 7