Facility & Real Estate Management PT
Apply Icon

Fundamentals of Statistic

level of course unit


Learning outcomes of course unit

Graduates are able to: - describe and apply the concepts and methods of descriptive and exploratory statistics. - analyze, structure and present data sets independently. - critically evaluate and question statistical evaluations.

prerequisites and co-requisites


course contents

- Statistical characteristics and variables - Univariate description and exploration of data - Multivariate description and exploration of data - Index analyses - Regression analyses

recommended or required reading

- Fahrmeir, L., Künstler, R., Pigeot, I., Tutz, G.: Statistik: Der Weg zur Datenanalyse, Springer Verlag Berlin, 7. Auflage, 2012 - Alt, R.: Statistik: Eine Einführung für Wirtschaftswissenschaftler, Linde Verlag Wien, 2. Auflage, 2012 - Fahrmeir, L.,Kneib, T., Lang, S. Regression: Modelle, Methoden und Anwendungen, Springer Verlag Berlin, 2. Auflage, 2009

assessment methods and criteria

Tutorials, written examination

language of instruction


number of ECTS credits allocated


planned learning activities and teaching methods

Lecture, group work, presentation and discussion of tasks

semester/trimester when the course unit is delivered


name of lecturer(s)

Prof. (FH) Dr. David Koch

year of study

1. Year of studies

recommended optional program components


course unit code


type of course unit

Compulsory subject

mode of delivery

20% web-based self-learning unit, 80% in class course (integrated lecture)

work placement(s)

Not applicable