Internet Technology

Statistics for Informatics

Integrated course, 2.00 ECTS


Course content

Descriptive statistics (data, parameters, explorative graphs), basics of probability calculation, test distributions, estimation of parameters (points, methods, confidence intervals), hypothesis testing;
exercises are programmed with program package R (open source software).

Learning outcomes

The graduate is able to solve statistical problems independently or to understand them via further literature.

Recommended or required reading and other learning resources / tools

Statistik, Fahrmeir, Heumann, Künstler, Pigeot, Tutz, 978-3-662-50372-0 Statistische Methoden der VWL und BWL, Josef Schira, ISBN 978-3-8632-6789-6 Statistik, Bamberg, Günter / Baur, Franz / Krapp, Michael, ISBN 978-3-486-71437-1

Mode of delivery

Lecture and Lab in R

Prerequisites and co-requisites

Mathematik für Informatik I and II

Assessment methods and criteria

Final exam and lab exams