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Methods of data analysis II & Introduction to machine learning



Time and place:

  • Do 14:00-15:30, Room HF

Fields of study

  • WF Ph-BA 56789ABCDEF
  • WF Ph-MA 123456789ABCDEF

Prerequisites / Organisational information

Useful prerequisites: Methods of Data Analysis I and basic knowledge of Python programming.


Learning goals:

- Use advanced reconstruction tools to analyze data from a state of the art experiment

- Familiarize with different tools from the class of ‘machine learning’

- Learn the concepts of scientific validation of software

5 lectures about various topics in advanced data-analysis and machine learning

8 weeks of hands-on problem solving on a recent problem in the field.

Writing report as final product.