Statistics Lab

1. Apr, 2024
Type lecture
Semester Summer 2024
Schedule Mondays, 8:30 – 10:00
Location Günter-Hotz-Hörsaal (GHH)
Start 1. April 2024
End 30. September 2024
Language English, tutorials also in German
CMS

Team

Prof. Dr. Verena Wolf (lecturer)
Emilia Ellsiepen, Joschka Groß, Felix Jahn (assistants)

Course Goals

This course serves as an introduction to the fundamentals of statistics and probability theory and covers most of the core principles of modern data analysis and predictive modeling:

  • Descriptive Statistics and Visualizations in Python
  • Probabilities and Discrete Random Variables
  • Continuous Random Variables and Laws of Large Numbers
  • Parameter Estimation
  • Statistical Testing
  • Computer Simulations and Monte Carlo Methods
  • Stochastic Processes

Format

  • A weekly recorded on-site lecture, with a video course and lecture notes as supplementary online resources.
  • Weekly on-site tutorials in German, English, or bilingual.
  • Written mini-tests in every second lecture, and graded exercise sheets prepared in groups of 3–4 students.
  • Exam admission requires at least 50% of the combined score of mini-tests (2/3) and exercise sheets (1/3). Students scoring above 90% receive an exam bonus.
  • A written on-site exam at the end of the semester.

Organization

All information and materials are available in the CMS.