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.

2022W, UE, 1.0h, 1.5EC
TUWEL

Properties

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

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
Wed13:00 - 14:0005.10.2022 - 18.01.2023 Zoom (for zoom link see TUWEL) (LIVE)Übung Filzmoser
Multivariate Statistics - Single appointments
DayDateTimeLocationDescription
Wed05.10.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed12.10.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed19.10.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed09.11.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed16.11.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed23.11.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed30.11.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed07.12.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed14.12.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed21.12.202213:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed11.01.202313:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser
Wed18.01.202313:00 - 14:00 Zoom (for zoom link see TUWEL)Übung Filzmoser

Examination modalities

Solving examples in R

Course registration

Begin End Deregistration end
19.09.2022 12:00 16.10.2022 12:00 16.10.2022 12:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics Mandatory elective
033 533 Medical Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
066 645 Data Science Not specified
066 926 Business Informatics Mandatory elective
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

if required in English