Syllabus

Title
4768 PhD Research Seminar in Mathematics for Economics and Business
Instructors
Univ.Prof. Dr. Sylvia Frühwirth-Schnatter, Univ.Prof. Dipl.Wirtsch.-Math.Dr. Birgit Rudloff
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
02/13/23 to 02/28/23
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Friday 03/10/23 09:00 AM - 10:15 AM D4.0.127
Friday 03/17/23 09:00 AM - 10:15 AM D4.0.127
Friday 03/24/23 09:00 AM - 10:15 AM D4.0.127
Friday 03/31/23 09:00 AM - 10:15 AM D4.0.127
Friday 04/14/23 09:00 AM - 10:15 AM D4.0.127
Friday 04/21/23 09:00 AM - 10:15 AM D4.0.127
Friday 04/28/23 09:00 AM - 10:15 AM D4.0.127
Friday 05/26/23 09:00 AM - 10:15 AM D4.0.127
Friday 06/02/23 09:00 AM - 10:15 AM D4.0.127
Friday 06/16/23 09:00 AM - 10:15 AM D4.0.127
Friday 06/23/23 11:00 AM - 12:30 PM TC.3.01
Contents

Topics that are discussed in the seminar include, among many others (in alphabetical order):

  • applied statistical research in economics, in finance, and in the social sciences
  • Bayesian methods
  • computational statistics
  • mathematical statistics
  • mathematical finance
  • Monte Carlo methods
  • optimization
  • stochastic modelling
  • time series analysis
Learning outcomes

In this course, students learn about current research in statistics and mathematics. Researchers from leading universities present and discuss their (working) papers. The students should learn to critically evaluate the relevance and contribution of the presented papers.

Attendance requirements

Full attendance is compulsory. This means that students should attend at least 80% of all lectures, at most one lecture can be missed.

Teaching/learning method(s)
  • reading of the working paper before the seminar
  • participation at paper presentation and discussion during the seminar
  • personal communication with the researcher after the seminar
Assessment
  • participation during the presentation and discussion of the papers during the seminar
  • individual exchange with the researchers presenting in the seminar
  • written summary of selected presentations

All items are weighted equally.

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Additional information on MyLEARN.

For a overview of the current program see https://www.wu.ac.at/statmath/research/brown-bag-seminar

Last edited: 2022-10-27



Back