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Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
Intermediate Studies in Statistics, 55 ECTS

Learning outcomes

The aim of the study module is to familiarise students with the most important statistical methods and give them the ability to apply them empirically. A further objective is to provide students with basic knowledge of the theory of statistics, especially in probability calculus needed for statistical inference. On this basis, students form a picture of statistical inference, and they will assume it as a central research area in statistics on which statistical methods rest. The courses of intermediate studies also prepare students for completing the advanced studies. Because of this, it is advisable to achieve an overall grade of Good or higher for the intermediate studies.


Numeric 1-5.

Belongs to following modules

School of Information Sciences
Statistics: B.Sc. (Statistics)
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Intermediate Studies in Statistics

TILTA3 Multivariate Analysis, 4 ECTS
TILTA5 Time Series Analysis I, 8 ECTS
TILTA6 Regression Analysis, 8 ECTS
TILTA10 Sampling Methods I, 8 ECTS
TILTA11 Nonparametrical Methods, 8 ECTS
TILTA13 Analysis of Panel Data, 8 ECTS
TILTA21 Statistical Forecasting, 8 ECTS
TILTA28 Mixed Models, 8 ECTS
TILTA31 Excel Programming (VBA), 8 ECTS
TILTA33 Statistical Inference I, 8 ECTS
TILTA34 Logistic Regression, 8 ECTS
TILTA38 Basics of SAS Program, 4 ECTS
School of Information Sciences