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.

2020W, UE, 1.0h, 1.5EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise
  • Format: Distance Learning

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

Contributors

Institute

Course dates

DayTimeDateLocationDescription
Wed15:00 - 15:4507.10.2020 - 27.01.2021 Zoom link in TUWEL (LIVE)Exercise
Multivariate Statistics - Single appointments
DayDateTimeLocationDescription
Wed07.10.202015:00 - 15:45 Zoom link in TUWELExercise
Wed14.10.202015:00 - 15:45 Zoom link in TUWELExercise
Wed21.10.202015:00 - 15:45 Zoom link in TUWELExercise
Wed28.10.202015:00 - 15:45 Zoom link in TUWELExercise
Wed04.11.202015:00 - 15:45 Zoom link in TUWELExercise
Wed11.11.202015:00 - 15:45 Zoom link in TUWELExercise
Wed18.11.202015:00 - 15:45 Zoom link in TUWELExercise
Wed25.11.202015:00 - 15:45 Zoom link in TUWELExercise
Wed02.12.202015:00 - 15:45 Zoom link in TUWELExercise
Wed09.12.202015:00 - 15:45 Zoom link in TUWELExercise
Wed16.12.202015:00 - 15:45 Zoom link in TUWELExercise
Wed13.01.202115:00 - 15:45 Zoom link in TUWELExercise
Wed20.01.202115:00 - 15:45 Zoom link in TUWELExercise
Wed27.01.202115:00 - 15:45 Zoom link in TUWELExercise

Examination modalities

Solving examples in R

Course registration

Begin End Deregistration end
14.09.2020 12:00 11.10.2020 12:00 11.10.2020 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

  • Attendance Required!

Language

German