390024 DK PhD-M: Multivariate Business Statistics (2020S)
Continuous assessment of course work
Labels
Target Group: Students of the PhD-ManagementRequirements for Participation: Registration for the course in U:SPACE
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).
- Registration is open from Mo 10.02.2020 09:00 to We 19.02.2020 12:00
- Deregistration possible until Th 30.04.2020 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
ATTENTION:
Adaptions of the syllabus caused by closing of the university building are announced via MOODLE. Regulations concerning attendance can be applied only for units in class.
- Wednesday 11.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 18.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 25.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 01.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 22.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 29.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 06.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 13.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 20.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 27.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 03.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 10.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 17.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 24.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
More details:
Assessment and permitted materials
- Written examination 30 Percent
- Mid-term presentation (article) 20 Percent
- End-term presentation (project) 20 Percent
- Course paper 30 PercentAttendance in all units is a requirement for grading. For a positive grade, at least 50 percent are necessary.
- Mid-term presentation (article) 20 Percent
- End-term presentation (project) 20 Percent
- Course paper 30 PercentAttendance in all units is a requirement for grading. For a positive grade, at least 50 percent are necessary.
Minimum requirements and assessment criteria
- Understanding the principles of selected multivariate business statistics techniques
- Realising how to use these techniques in scientific work
- Applying the techniques in a practical data analysis project
- Realising how to use these techniques in scientific work
- Applying the techniques in a practical data analysis project
Examination topics
Reading list
Hair, J.F.Jr., Babin, B.J., Anderson, R.E., Black, W.C. (2018): Multivariate Data Analysis, 8th ed., Cengage
(7th ed.: Hardcover 2010, Kindle 2013, Paperback 2014)
- Iacobucci, D., Churchill, G.A.Jr., (2018): Marketing Research – Method. Foundations, 12th ed., CreateSpace
- [Supplement: Tabachnik, B.G., Fidell, L.S. (2019): Using Multivariate Statistics, 7th ed., Pearson]
- [Supplement: Backhaus, K. et al. (2016): Multivariate Analysemethoden, 14. Aufl., Springer]
(7th ed.: Hardcover 2010, Kindle 2013, Paperback 2014)
- Iacobucci, D., Churchill, G.A.Jr., (2018): Marketing Research – Method. Foundations, 12th ed., CreateSpace
- [Supplement: Tabachnik, B.G., Fidell, L.S. (2019): Using Multivariate Statistics, 7th ed., Pearson]
- [Supplement: Backhaus, K. et al. (2016): Multivariate Analysemethoden, 14. Aufl., Springer]
Association in the course directory
Last modified: Mo 07.09.2020 15:22