Universität Wien
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040436 VK KFK ORPE: Data Analysis in Organization and Personnel (2012W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 09.10. 10:00 - 12:00 EDV-Labor 6
  • Thursday 11.10. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 16.10. 10:00 - 12:00 EDV-Labor 6
  • Thursday 18.10. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 23.10. 10:00 - 12:00 EDV-Labor 6
  • Thursday 25.10. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 30.10. 10:00 - 12:00 EDV-Labor 6
  • Tuesday 06.11. 10:00 - 12:00 EDV-Labor 6
  • Thursday 08.11. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 13.11. 10:00 - 12:00 EDV-Labor 6
  • Thursday 15.11. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 20.11. 10:00 - 12:00 EDV-Labor 6
  • Thursday 22.11. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 27.11. 10:00 - 12:00 EDV-Labor 6
  • Thursday 29.11. 11:00 - 13:00 EDV-Labor 6
  • Tuesday 04.12. 10:00 - 12:00 EDV-Labor 6
  • Thursday 06.12. 11:00 - 13:00 EDV-Labor 6

Information

Aims, contents and method of the course

This course is intended to equip students with a background in applied statistical analysis for human resource management. Answering economic questions, such as the effectiveness of training programs for worker education or the impact of investments in human capital on subsequent earnings are paramount for labor economists and managers involved with human capital management. However, to do this, a solid background in applied statistics and econometrics is indispensable. Rather than teaching and preaching statistical tools, we will apply the statistical toolbox available to real life situations and datasets to investigate the economic impact that various HR mechanisms have on human capital compositions and employee performance.
Students will learn when and how they can use these statistical techniques to answer economic questions with appropriate rigueur. Using modern statistics to answer real life problems marks the transition from being a student of economics to be an applied economist. The content of this course should enable students to work on their own empirical project (such as a Master thesis) or apply the concept in real-life (such as their subsequent job assignments). The course is highly relevant for students aspiring a career involving the education and management of employees.

Assessment and permitted materials

Minimum requirements and assessment criteria

The course will be work intensive. We will combine each technique with hands-on work examples (using the Software package Stata) and several take-home assignments (individual and in groups). The course comprises theoretical insights of HR and human capital and combines these with practical applications.

Examination topics

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:29