Sampling II

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Sampling II - Course Details

Delve into the course contents and find out about the faculty members.

Single Course Price:

400.00 EUR (tax exempt)



Raphael Nishimura, PhD (University of Michigan)

Video lecture:

Raphael Nishimura, PhD (University of Michigan)


Course Dates

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This course is part of the Mannheim Data Science Certificate: Sampling.

Book this course or the entire certificate here!

In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.

Course description

Short Course Description
Sampling II presents different applications of the methods and techniques covered in the Sampling I course. This is also an applied statistics methods course concerned almost exclusively with the design of data collection rather than data analysis. The course will concentrate on sampling applications to human populations, since this poses a number of particular problems not found in sampling of other types of units. The principles of sample selection, though, can be applied to many other types of populations.

Sampling I or equivalent course is required. Some experience with the R statistical computing software is helpful.

Course objectives:
By the end of the course, students will…

  • be able to design and implement large-scale statewide or national samples using multi-stage sampling with different sampling techniques
  • understand the principles of telephone sampling and be able to design and select telephone samples
  • understand issues related with multiple frame designs and use them in settings such as telephone sampling
  • be able to identify opportunities to effectively use unequal probability sample design
  • be able to use R to select unequal probability samples

Course Composition
This is a 2 ECTS course, which runs for 4 weeks. The content of the course is broken down into 4 units:

  1. Multi-Stage Sampling
  2. Area Probability Sampling & Gridded Population Sampling
  3. Telephone Sampling & Multiple Frame Sampling
  4. Sample Size Calculation & Power Computation

Grading will be based on:

  • Homework assignments (50% of the grade)
  • Quizzes (15% of the grade)
  • Participation in discussion during the weekly online meetings, submission of questions in the weekly discussion forum (Thursday, 9:00 AM ET / 3:00 PM CET) demonstrating understanding of the required readings and video lectures, and positive contributions on Piazza, see below (10% of grade)
  • A final open-book online exam (25% of grade)


ZFU Certification and Online Dispute Resolution

ZFU Certification

The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).


Online Dispute Resolution

Online dispute resolution according to Art. 14 Sect. 1 ODR-VO: The European Commission provides a platform for online dispute resolution (ODR). You can find more information under


Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.