107.258 Computational Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2016W, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Aim of course

Self-supporting ability in large statistical evaluations and solving of arising problems. Constructive critical view at computer outputs.

Subject of course

Exploration and analysis of statistical data, computer supported methods of statistics, software environment R. Usage of special software, particularly new developments. Working with larger case studies. Methods: Descriptive statistics, comparison of groups of data, analysis of variance, regression, multivariate analysis, simulation.

Additional information

ACHTUNG!

Diese VU wird im WS 2015/16 als BlockLVA von Herrn Priv.-Doz. Dr. Matthias Templ abgehalten.
Die genauen Termine werden noch bekannt gegeben.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon13:45 - 15:1503.10.2016 - 12.12.2016Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri09:00 - 12:3007.10.2016 - 16.12.2016Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Computational Statistics - Single appointments
DayDateTimeLocationDescription
Mon03.10.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / M. Templ
Fri07.10.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / M. Templ
Mon10.10.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / M. Templ
Fri14.10.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / M. Templ
Mon17.10.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / M. Templ
Fri21.10.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / M. Templ
Mon24.10.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / M. Templ
Fri28.10.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / M. Templ
Mon31.10.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri04.11.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Mon07.11.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri11.11.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Mon14.11.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri18.11.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri25.11.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Mon28.11.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri02.12.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Mon05.12.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Fri09.12.201609:00 - 12:30Seminarraum 107/1 VU Computerstatistik / R. Deutsch
Mon12.12.201613:45 - 15:15Seminarraum 107/1 VU Computerstatistik / R. Deutsch

Examination modalities

written and oral

Course registration

Begin End Deregistration end
25.07.2016 00:00 14.10.2016 23:59 31.10.2016 23:00

Registration modalities

Ort: TISS

Group Registration

GroupRegistration FromTo
Übungsgruppe 105.09.2016 12:0007.10.2016 23:55
Übungsgruppe 205.09.2016 12:0007.10.2016 23:55

Curricula

Study CodeObligationSemesterPrecon.Info
033 201 Technical Mathematics Mandatory elective
033 203 Statistics and Mathematics in Economics Mandatory5. Semester
033 534 Software & Information Engineering Mandatory elective
066 395 Statistics and Mathematics in Economics Mandatory elective
867 Statistics Mandatory

Literature

Parts of the lecture are from the book

Matthias Templ "Simulation for Data Science with R", Packt Publishing, 398 Seiten, 2016

Previous knowledge

Absolvierung einer Einführungslehrveranstaltung in Statistik. Kenntnisse von R von Vorteil. D.h. i.a. ist diese fortgeschrittene LVA erst im 5. Semester zu besuchen.

Miscellaneous

Language

German