Learning Outcomes What you will know

This page collects together all of the “outcomes” associated with individual modules. Outcomes identify what students will know and be able to do if they master the material.

Course-level outcomes

Students mastering the material in this course will achieve the following student learning outcomes for the Master of Physical Geography program:

Base Competences: Students can apply knowledge of spatial data computing and simple mathematics appropriate to their discipline background.
Medium Competences: Students can analyze a problem, and identify and define the conceptual and computing requirements appropriate to its solution.
High Competences: Students can design, implement, evaluate and document a scientific question in an adequate way.

Basics Knowledge for running the course for

You can configure a working environment suitable for r-spatial on the operating system of your choice
You have basic knowledge about project management, version control and collborative work
You are basically familiar with the use of Rstudio and can integrate GitHub

Referencing modules: Knowledge and prerequisites for the course

Problem solving made easy

You are able to identify a conceptual problem
You also able to structure and break down your problem to a thesis in a meaningful way
You are able to find scientifically appropriate technical solutions
You can discuss your results critically

Referencing modules: Methodological Warm Up

Assessed by: Write a short note