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.

2022W, VO, 3.0h, 4.5EC
TUWELLectureTube

Properties

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

Oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed15:00 - 16:0005.10.2022 - 11.01.2023FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu13:00 - 15:0006.10.2022 - 12.01.2023EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Multivariate Statistics - Single appointments
DayDateTimeLocationDescription
Wed05.10.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu06.10.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed12.10.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu13.10.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed19.10.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu20.10.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Thu27.10.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Thu03.11.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed09.11.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu10.11.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed16.11.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu17.11.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed23.11.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu24.11.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed30.11.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu01.12.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed07.12.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Wed14.12.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Thu15.12.202213:00 - 15:00EI 2 Pichelmayer HS - ETIT Vorlesung Filzmoser
Wed21.12.202215:00 - 16:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser

Examination modalities

Solving examples in R, oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu12:00 - 14:0021.03.2024Sem.R. DA grün 02 C - GEO oral29.02.2024 13:00 - 19.03.2024 23:59TISSOral Presence Exam Multivariate Statistik

Course registration

Begin End Deregistration end
01.09.2022 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.

Language

if required in English