Delve into the course contents and find out about the faculty members.
400.00 EUR (tax exempt)
Benjamin M. Reist (NASA)
Richard Valliant, PhD (University of Michigan)
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Short Course Description
This course is a statistical methods class combining hands-on applications and general review of the theory for survey weighting.
Sampling theory, Applied sampling (e.g., SURV626), or Practical Tools (Part I) for Sampling.
Some experience with variance estimation, statistical analysis using survey data, and the R statistical computing software will be helpful.
By the end of the course, students will understand the…
This is a 2 ECTS course, which runs for 4 weeks. The content of the course is broken down into 4 units:
Learning and Teaching Methods
In this course, you are responsible for watching video recorded lectures and reading the required literature for each unit and then “attending” mandatory weekly one-hour online meetings where students have the chance to discuss the materials from a unit with the instructor. In addition, students are encouraged to post questions about the materials covered in the videos and readings of the week in the forum before the meetings. Just like in an on-site course, homework will be assigned and graded and there will be a final exam at the end of the course.
Grading will be based on:
The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).
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