107.388 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, VO, 3.0h, 4.5EC
TUWEL

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

Mode of examination

Oral

Lecturers

Institute

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
Mon12:00 - 13:0027.05.2024Sem.R. DA grün 06A oral23.04.2024 09:30 - 25.05.2024 23:59TISSOral Presence Exam Multivariate Statistik

Course registration

Not necessary

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

Language

German