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.

A tour de force through the modeling of climate

You have an idea what is meant by microclimate
You can apply common statistic models
You can adapt a machine learning approach
You can follow a suggested approach to derive microclimate data

Referencing modules: Spatial Prediction of Forest Microclimate

Assessed by: Apply different models for microclimate analysis and write a shorte note,

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

Competent with elementary R spatial concepts

You can use basic R spatial packages
You can implement simple functions
You can implement simple conditional and loop structures in a given context

Referencing modules: Introduction to Spatial R-GIS

Assessed by: Assessment R-spatial GIS

Dealing with 3D point clouds

You can handle and manipulate LAS data
You can calculate common indices focussed on a reproducible processing chain
You are capable to decide the adequate algorithms and parameterisation for a given context

Referencing modules: Deriving ecological indices from LiDAR data

Assessed by: Assessment: LiDAR based Forest Indices