StatsLab

Course Goals

This course serves as an introduction to the fundamentals of statistics and probability theory.  

Topics:

• 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

 

Lecture Modalities:

• Weekly on-site lecture (Tue 8:30-10 am, starting on April 8th). 
• Written on-site exam on July 22, resit exam on October 2
• Obligatory tutorial attendance (group class sheets and individual minitests have to be solved in person)
• Exam admission is tied to passing a minimum number of class sheets, minitests and homework sheets
• On-site tutorials (Mon 10:15-11:45am, Wed 8:30-10am, Wed 10:15-11:45am, Fri 10:15-11:45am, Fri 12:15-13:45pm)

 

Registration

The registration for this course is open from March 15, 8:30am to April 11, 11:59pm. When registering you will have to state your preferences regarding the time of your tutorial as well as your preferred language. We will offer tutorials in English and German.

General Information

• The first lecture will take place on Tuesday the 8th of April at 8:30 am (GHH lecture hall).
• for organizational questions, please contact Emilia Ellsiepen