Course syllabus

Welcome to GVN370, Advanced Climate Data Analysis, 7.5 credits, Spring 2025

The course will be held entirely in-person. Distance students cannot be accommodated for. If you registered for this course intending to take it as distance course, contact the study counsellor (svl@gvc.gu.se) asap for alternative courses.

Warning: Despite its Swedish name, this course is at the Bachelor level (grundnivåutbildning), not at the Master's level. If you registered for this course thinking it was a Master's course and that you are not part of the ACE Master's programme, contact the study counsellor (svl@gvc.gu.se).

Pre-requisite

This course is NOT an introduction to programming. You are supposed to already know how to perform basic operations using Matlab or Python.

If you need a refresher, use for example one of these tutorials:

Matlab: https://se.mathworks.com/support/learn-with-matlab-tutorials.html

Python:

Python Basics (especially “Basics” and “Data Science Tutorials”): https://www.learnpython.org/

Python/Jupyter from Basics to Earth Science data analysis:  https://earth-env-data-science.github.io/intro

Python/Jupyter for Climate data analysis: https://nordicesmhub.github.io/climate-data-tutorial/03-visualization-python/

Schedule

Syllabus

No literature list: this course is exercise-based.

Contact/E-post:

Course manager: Céline Heuzé - for course matters, contact me only via Canvas.

Teaching assistant: Carmen Wong

For administrative inquiries, please contact:  studentadmin@gvc.gu.se

Study Counsellor: svl@gvc.gu.se

Head of Education: Johan Hogmalm

More information

For information for you as a student (health, online exams, pedagogical support)  -> Studentportalen.