BAYESIAN REASONING

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Projects

  1. TrainBayes (DFG)
  2. siMINT (BMBF)
  3. FEHLBa (DFG)


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Material

  1. Training courses from the project TrainBayes (DFG) (DFG)


 
 

Training courses from the project TrainBayes


In the project TrainBayes, we have developed four training courses, with which Bayesian reasoning can be improved. In the training material, the aspects performance and covariation are addressed. The following four different versions of the training courses, mainly differ with respect to the visualization, which is used within the training courses:

1. Training course: Double-tree is used as a visualisation
2. Training course: Unit square is used as a visualisation
3. Training course: Probability-tree is used as a visualisation
4. Training course: Frequencies are used as a helpful strategy, but without using the visualization

These four training courses have been developed for students from law and medicine. The material on the aspect performance is implemented statically. The material on the aspect covariation is implemented dynamically. You can access summaries of the original training courses here:

Training courses for medicine (link to an external open repository)

Training courses for law (link to an external open repository)

 

Projektleitung:
Prof. Dr. Andreas Eichler
eichler@mathematik.uni-kassel.de
Prof. Dr. Stefan Krauss
Stefan.Krauss@mathematik.uni-regensburg.de