# 107.388 Multivariate Statistics This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_1y",{id:"j_id_1y",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_20",{id:"j_id_20",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});});

2019W, VO, 3.0h, 4.5EC

## Properties

• Semester hours: 3.0
• Credits: 4.5
• Type: VO Lecture

## Learning outcomes

After successful completion of the course, students are able to

• mathematically formulate and apply dimension reduction techniques and methods for linear regression and classification,
• demonstrate and assess the strengths and weaknesses of the different statistical methods and tools,
• compute examples using the software environment "R".

## Subject of course

Methods like principal component analysis, factor analysis, discriminant analysis and cluster analysis will be explained.

## Teaching methods

Examples with data, software environment R

Oral

## Course dates

DayTimeDateLocationDescription
Wed14:00 - 15:0002.10.2019 - 29.01.2020Sem.R. DA grün 06A Vorlesung
Thu14:00 - 16:0003.10.2019 - 30.01.2020Sem.R. DA grün 06A Vorlesung
Multivariate Statistics - Single appointments
DayDateTimeLocationDescription
Wed02.10.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu03.10.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed09.10.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu10.10.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed16.10.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu17.10.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed23.10.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu24.10.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed30.10.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu31.10.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed06.11.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu07.11.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed13.11.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu14.11.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed20.11.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu21.11.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed27.11.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu28.11.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung
Wed04.12.201914:00 - 15:00Sem.R. DA grün 06A Vorlesung
Thu05.12.201914:00 - 16:00Sem.R. DA grün 06A Vorlesung

## Examination modalities

Solving examples in R, oral exam

## Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue14:00 - 15:0004.02.2020 Office Filzmoseroral16.01.2020 12:00 - 03.02.2020 12:00TISSOral Exam (slots will be extended if students are on the waiting list))
Wed10:00 - 12:0012.02.2020 Office Filzmoseroral16.01.2020 12:00 - 11.02.2020 12:00TISSOral Exam (slots will be extended if students are on the waiting list))

Not necessary

## Curricula

Study CodeSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics
033 533 Medical Informatics
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering
Course requires the completion of the introductory and orientation phase
066 645 Data Science