Universität Wien

040971 UK Computational Statistics (2020S)

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

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. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 04.03. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 11.03. 13:15 - 16:30 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 18.03. 15:00 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 25.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.03. 15:00 - 16:30 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 01.04. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.04. 11:30 - 13:00 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.04. 11:30 - 13:00 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 29.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 06.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 06.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 13.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 13.05. 15:00 - 16:30 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 20.05. 15:00 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 27.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.05. 15:00 - 16:30 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 03.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 03.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.06. 11:30 - 13:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 17.06. 13:15 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 24.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 24.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The aim of this course is to get acquainted with tools of computational data analysis and data visualization. The cours covers techniques with R, Python, Tableau and Watson Studio

Key aspects are
Introduction to scientific computing using R.
Data handling, regular expressions, statistical tools, time-series analysis, data visualization, large data processing, optimization, html and visualization frameworks, financial time series and limit order book markets

Assessment and permitted materials

regular coursework
presentation of a final example (group work)

Minimum requirements and assessment criteria

50% of homework
positive presentation of a final example (group work)
participation at 3 of 5 dates for exercises

Examination topics

Reading list

http://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf
https://jakevdp.github.io/PythonDataScienceHandbook/

Association in the course directory

Last modified: Mo 07.09.2020 15:20