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.

2018W, VU, 3.0h, 4.5EC

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.

Lecturers

Nordhausen, Klaus

Institute

E105 Institute of Statistics and Mathematical Methods in Economics

Course dates

Day	Time	Date	Location	Description
Mon	15:00 - 17:00	01.10.2018	Informatikhörsaal - ARCH-INF	Vorbesprechung NORDHAUSEN
Mon	12:30 - 14:30	08.10.2018 - 28.01.2019	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	12:00 - 13:00	10.10.2018 - 30.01.2019	Sem.R. DA grün 05	Vorlesung Nordhausen

Show single appointments

Computational Statistics - Single appointments

Day	Date	Time	Location	Description
Mon	01.10.2018	15:00 - 17:00	Informatikhörsaal - ARCH-INF	Vorbesprechung NORDHAUSEN
Mon	08.10.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	10.10.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	15.10.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	17.10.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	22.10.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	24.10.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	29.10.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	31.10.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	05.11.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	07.11.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	12.11.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	14.11.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	19.11.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	21.11.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	26.11.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	28.11.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	03.12.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen
Wed	05.12.2018	12:00 - 13:00	Sem.R. DA grün 05	Vorlesung Nordhausen
Mon	10.12.2018	12:30 - 14:30	Sem.R. DA grün 05	Vorlesung Klaus Nordhausen

Examination modalities

written and oral

Course registration

Begin	End	Deregistration end
23.07.2018 00:00	12.10.2018 23:59	29.10.2018 23:00

Registration modalities

Ort: TISS

Curricula

Study Code	Obligation	Semester
033 201 Technical Mathematics	Mandatory elective
033 203 Statistics and Mathematics in Economics	Mandatory	5. Semester
033 534 Software & Information Engineering	Mandatory elective
066 395 Statistics and Mathematics in Economics	Mandatory elective
066 926 Business Informatics	Mandatory elective

Literature

Go to Course Materials

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.

Language

German