Statistical Software

Faculty: Faculty of Business Management and Social Sciences

Version: Version 4.0 of 10/28/2020

Code of Module: 22B1166

Modulename (german): Statistiksoftware

Study Programmes: Betriebliches Informationsmanagement (B.Sc.)

Level of Module: 2

Responsible of the Module: Faatz, Andreas

Lecturer(s)

Faatz, Andreas
Hübner, Ursula Hertha

Credits: 5

Concept of Study and Teaching

Workload Dozentengebunden
Std. Workload	Lehrtyp
40	Vorlesungen
20	Übungen
Workload Dozentenungebunden
Std. Workload	Lehrtyp
40	Veranstaltungsvor-/-nachbereitung
30	Hausarbeiten
20	Prüfungsvorbereitung

Recommended Reading: Field, Andy: Discovering Statistics Using R, Sage PublishersField, Andy: Discovering Statistics Using SPSS, Sage PublishersGreen, Christopher: The Stat 390 R Primer, University of Washington, www.stat.washington.edu/cggreen/rprimer/

Weitere Literatur wird während der Veranstaltung angegeben.

Graded Exam

Two-Hour Written Examination
Portfolio exam

Duration: 1 Term

Module Frequency: Only Winter Term

Language of Instruction: German