Universität Wien FIND

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040971 UK Computational Statistics (2020S)

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

Registration/Deregistration

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


Association in the course directory

Last modified: Mo 07.09.2020 15:20