040971 UK Computational Statistics (2017S)

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).

Registration is open from We 15.02.2017 09:00 to We 22.02.2017 12:00
Deregistration possible until Tu 14.03.2017 23:59

Details

max. 50 participants

Language: German

Lecturers

Gökhan Cebiroglu

Classes (iCal) - next class is marked with N

Wednesday 01.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 08.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 15.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 22.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 29.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 05.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 26.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 03.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 10.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 17.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 24.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 31.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 07.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 14.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 21.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 28.06. 13:15 - 14:45 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 idea is to learn work flows to effectively implement statistical analysis routines and analytic documentation.

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

Weekly coursework.

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:29