SoSe 26: Module offerings

• Sampling Methods

  0171cB2.5
  learning objectives: Students gain an introduction into the field of survey statistics and learn the basic methods of sampling theory. ... read more

  learning objectives:
  Students gain an introduction into the field of survey statistics and learn the basic methods of sampling theory. They also learn about the most important sampling techniques and how to use them. In addition, they use example cases to learn how to deal with nonreponse and how to use calibration methods. In the tutorial section, students learn how statistics software can be used to draw samples, for example, from the Campus-Files from the Federal Statistical Office. They also learn the relevant methods and are thus able to assess critically the practical implementations of sampling procedures. Moreover, they learn to explain and evaluate survey data generated through polling. The module takes into consideration gender and diversity to establish conditions that make it possible for all students to participate.
  
  

  course content:
  Population and sampling probabilities, Simple random sampling, Stratified sampling, Cluster sampling, Two-stage (multi-stage) sampling, Selection schemes with unequal probabilities, Regression estimation
  
  

  language of instruction:
  German / English
  
  workload
  180 hours (6 ECTS)
  
  duration / frequency
  one semester / irregular

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  • 10122001 Lecture
    Machine Learning (Philipp Bach)
    Schedule: Mi 14:00-17:00 (Class starts on: 2026-04-22)
    Location: Hs 103 Hörsaal (Garystr. 21)
    
  • 10122026 Methods Tutorial
    Machine Learning (Philipp Bach)
    Schedule: Mi 17:00-18:00 (Class starts on: 2026-04-22)
    Location: Hs 103 Hörsaal (Garystr. 21)
    

• Modules w/o courses in this semester

  2 Modules
  • Einführung in die Ökonometrie (Introduction to Econometrics) 0171cB2.1
  • Statistische Modellierung (Statistical Modeling) 0171cB2.2