403012 PS Statistical Data Analysis

summer semester 2021 | Last update: 21.01.2021 Place course on memo list
403012
PS Statistical Data Analysis
PS 2
4,5
It is highly recommended to start the module Statistical Data Analysis only after having attended the module Mathematics and thus at the earliest from the 2nd semester.
weekly
each semester
German

Acquisition of basic statistical knowledge, ability to analyse, discuss and solve simple statistical problems, application of statistical software

Descriptive statistics, probability theory, principles of estimation and testing theory, contingency tables, correlation and regression, case studies

Lecture, proseminars with excercises at the computer using statistics software

Online-tests and two written proseminar exams to pass the proseminar, written final exam for the lecture. For details see the syllabus

Fahrmeir, Künstler, Pigeot, Tutz, 2007: Statistik, Der Weg zur Datenanalyse, Springer Verlag, Berlin.

Attendance of lecture 403001 is presupposed.

see dates
Group 0
Date Time Location
Thu 2021-03-04
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-03-11
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-03-18
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-03-25
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-04-15
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-04-22
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-04-29
10.00 - 12.00 eLecture - online eLecture - online
Fri 2021-04-30
08.00 - 10.00 eLecture - online eLecture - online 1. Proseminarklausur
Thu 2021-05-06
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-05-20
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-05-27
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-06-10
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-06-17
10.00 - 12.00 eLecture - online eLecture - online
Thu 2021-06-24
10.00 - 12.00 eLecture - online eLecture - online
Fri 2021-06-25
08.00 - 10.00 eLecture - online eLecture - online 2. Proseminarklausur