Module 2: Preparatory exercise

The preparatory work for module 2 consists of 2 Jupyter Notebooks (running Python, and primarily tested using Python 3):

• module2_preparatory_partA.ipynb Download module2_preparatory_partA.ipynb is a warm up. It does not contain any exercises or questions, but it can be instructive to read it through and run the code cells before starting on on Part B,  in particular if you have little or no experience with Bayesian statistics.
• module2_preparatory_partB.ipynb Download module2_preparatory_partB.ipynb is the main part of the preparatory exercise. The notebook contains all instructions, some questions that should be answered, and some code blocks where you need to fill in the missing part.

This exercise  is to be solved individually. It will not be graded by the teachers, but instead we ask you to send your solutions to your group member for peer review.

• Find a teammate by signing up for a group no later than October 22, 17:00. (People->Module 2: Group)
• Solve Part B of the preparatory exercise on your own and send your solutions to your teammate by October 23, 17:00.
• Discuss the solutions with your teammate if you think it's necessary.