Kursöversikt

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Welcome to GVN330 Climate Data Analysis HT20, 7,5 hec!

Välkommen till  GVN330 Klimatdataanalys, 7,5 hp, ht20

Course material is under migration from the old GUL system to Canvas! Please be patient!

Course Handbook - Overview of the course, how it works, what you need to do!

New for HT2020- Canvas! Note that navigation is currently best done through the Modules link from the left-hand menu.

Special arrangements HT2020!

The course will be run as a distance course HT2020! All teacher-led activities, including lectures and computer-exercies, will be delivered via Zoom. However, you may participate either on your own computer, or using computers in the student labs at the Institute for Earth Sciences. PLEASE READ THE SECTION SOFTWARE AND HARDWARE BELOW!

Note  that this course is learning-by-doing - most of the time you spend on the course is reading performing exercises using Canvas and Matlab, and completing the two assignments. The teacher-led activities are only a small component of the total work!

Contact people:

  • Course Leader: David Rayner - course content, learning modules, absences during parts of the course, examination.
  • Course administrator: Eugenia Andersson - registration, admission.
  • Student counselor: Emily Whitehurst Zack - counseling before applying for the course.

Do you need special pedagogical support? Please apply for support Links to an external site.in good time.

More information about being a student at the Department of Earth Sciences at the University of Gotheburg can be found on the GEO Student Portal.

SOFTWARE AND HARDWARE:

In this course we use the data analysis package Matlab. You may work on your own computers, or on computers in the student computer labs, or both. Please note that the student computer labs are not booked all day for the entire duration of the course.

  • if you intend to work on the the department's PCs, bring a USB "memory stick", or have some web-based cloud-solution organized.
  • if you intend to use your own lap-top, you can choose between a) installing Matlab, or b) using Matlab-online. For most of the exercises in the course, you can switch between them!
    • if you wish to download and install Matlab, find the instructions at the GU Student Portal Any recent version of Matlab is fine, and any modern computer is sufficient. In the actual Matlab installer, I suggest you de-select all packages, and just install  the core MATLAB and the Statistics and Machine Learning Toolbox, the Curve Fitting Toolbox.
  • The course uses a few recorded screencasts where I demonstrate how to use Matlab - you might want to bring earphones if you listen to these in the student labs so you do not disturb others!

 

Få tillgång till kursinnehållet

(English below).

Som ny student vid Göteborgs universitet behöver du aktivera ditt studentkonto för att kunna logga in i Canvas. Du behöver även vara registrerade på en kurs vid universitetet för att kunna komma  på Canvas. För att som inloggad student nå den kurs du ska läsa behöver du vara registrerade på den kursen vid den aktuella terminen.

Getting access to the course content.

New students needs to activate their student account before they can login to Canvas.
As a student you also need to be registered on a course at the university to access Canvas. When you are logged in as a student and to be able to reach the specific course that you will study, you need to be registered for that course for the actual semester. 

Misc

Vill du arbeta som fält- / labbassistent eller börja doktorsexamen? Kolla på lediga anställningar.

Would you like to work as a field/lab assistant, or start a PhD? Look for open positions (sv)

  

Kurssammanfattning:

Datum Information Sista inlämningsdatum