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107.391 Multivariate Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, UE, 1.0h, 1.5EC

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise

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

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed15:00 - 16:0009.10.2019 - 29.01.2020Sem.R. DA grün 06A Uebung
Multivariate Statistics - Single appointments
DayDateTimeLocationDescription
Wed09.10.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed16.10.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed23.10.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed30.10.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed06.11.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed13.11.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed20.11.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed27.11.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed04.12.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed11.12.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed18.12.201915:00 - 16:00Sem.R. DA grün 06A Uebung
Wed08.01.202015:00 - 16:00Sem.R. DA grün 06A Uebung
Wed15.01.202015:00 - 16:00Sem.R. DA grün 06A Uebung
Wed22.01.202015:00 - 16:00Sem.R. DA grün 06A Uebung
Wed29.01.202015:00 - 16:00Sem.R. DA grün 06A Uebung

Examination modalities

Solving examples in R

Course registration

Begin End Deregistration end
02.10.2019 12:00 14.11.2019 12:00 14.11.2019 12:00

Curricula

Study CodeSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics
033 533 Medical Informatics STEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering STEOP
Course requires the completion of the introductory and orientation phase
066 645 Data Science
066 926 Business Informatics
860 GW Optional Courses - Technical Mathematics

Literature

No lecture notes are available.

Miscellaneous

Language

German