Quick Overview

For more indepth examples and explanations visit the following:

Link	What you will find	Preview
Courses/CGBV	An overview of the Course "Computergraphik und Bildverarbeitung"
Feature_Demo	A demo of a couple of features
GraphStructure	The documentation of the graph structure
ExampleStudent	An example on how a student can use the graph
Quiz/CGBV-SL2	An example of how coursework is integrated

The Dependency Graph

At the lowest level the graph is structured by linking learning contents to its prerequisite(s) and useful resources. A student can now use these links to determine how items depend on each other, and what knowledge is required to understand a specific item.

In the end the graph turns into a big interconnected structure:

In order to make this amount of data useable, several Structure-Items have been defined to help group items into abstract categories.

For a more detailed explanation of the entire underlying structure go to GraphStructure or take a quick look at these following diagrams:

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  The base structure

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  Connection of courses

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  Dependencies and use

Using the Graph

The graph itself is just a versatile data structure. In order to make it usable, we are developing tools and visualizations. The SPARQL query language offered by WikiBase allows for retrieving relevant parts of the graph and visualizing it in different ways.

Hint: On each interactive visualization on this page, you can click on the "GraphIT Query Service" link in the lower left corner. This opens a new tab which shows you the SPARQL query and allows you to modify it.

Overview of Student

Shows what items a Student is has linked their item to. Can be used to track progress.

Learning path

The complete path to an item (here: Virtual Cameras) and what's next.

NOTE: Color coding was currently not possible for this specific case.

Course Work

What items are used in a mandatory coursework:

The learning path to wd:Q451