Kursöversikt
Welcome to the course GV2500 Data Analysis for Earth Sciences, 7.5 credits, Autumn 2024
I menyn under Moduler hittar du material för kursen. För att du ska kunna komma åt respektive modul med kursmaterial måste du först vara registrerad på kursen och inloggad i Canvas. Dina inloggningsuppgifter är samma som till Studentportalen.
The schedule is preliminary up to two weeks before the start of the course.
Contact:
- Course Leader: Julia Curio
- Teaching assistant: Cas Renette
- For administrative inquiries, please contact: studentadmin@gvc.gu.se
- Student counselor: svl@gvc.gu.se
SOFTWARE AND HARDWARE:
In this course, I will show how to use Python for data analysis. Python is the most common analysis tool in my field (atmospheric science) and it is great since it is completely free and there are many many resources available online. In this, you may work on your own computers, on computers in the student computer labs, or both. I run Python via the Anaconda Navigator. Here are the instructions on how to install it on your own laptop. You can use it via Spyder or Jupyter notebooks, but the exercises will mainly be in jupyter notebooks so it makes sense to use jupyter notebooks throughout the course. You can also use jupyter notebooks in google colab, then you don't need to instal anything. I do not know yet what will be installed on the computers in the student labs in Natrium but it will be definitely possible to use Jupyter notebooks. I assume most of you have your own laptops, but we will make sure there is an option in case you don't. If you want to use your own laptop, you can install python and the basic libraries (numpy, pandas, matplotlib, and scipy) before the first lab session on Wednesday.
Mer information
Information för dig som student, exempelvis om digital tentamen, pedagogiskt stöd, studenthälsa hittar du på Studentportalen
Guidance for students on the use of generative AI in their studies
Kurssammanfattning:
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