107.A03 Data analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VU, 2.0h, 3.0EC
This course is evaluated following the new mode. Learn more

Course evaluation

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to

  • understand theoretical and practical concepts of important exploratory data analysis techniques
  • understand the strengths and weaknesses of the different statistical methods and tools

Subject of course

sampling design, statistical sampling design, elements of exploratory data analysis,

basics of parametric, non-parametric and robust procedures, linear models,

introduction to multivariate statistical methods, introduction to time series analysis

Teaching methods

Examples with data, software environment R

Mode of examination

Written and oral

Additional information

Please, register via TISS!

There are computer exercises, and the material is available in TUWEL.
Your registration data are taken directly from TISS.

 

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 15:0004.03.2020EI 11 Geodäsie HS Vorlesung Filzmoser
Wed13:00 - 15:0011.03.2020EI 8 Pötzl HS Vorlesung Filzmoser
Wed13:00 - 15:0022.04.2020 - 24.06.2020 Lecture TubeDistance Learning
Data analysis - Single appointments
DayDateTimeLocationDescription
Wed04.03.202013:00 - 15:00EI 11 Geodäsie HS Vorlesung Filzmoser
Wed11.03.202013:00 - 15:00EI 8 Pötzl HS Vorlesung Filzmoser
Wed22.04.202013:00 - 15:00 Lecture TubeDistance Learning
Wed29.04.202013:00 - 15:00 Lecture TubeDistance Learning
Wed06.05.202013:00 - 15:00 Lecture TubeDistance Learning
Wed13.05.202013:00 - 15:00 Lecture TubeDistance Learning
Wed20.05.202013:00 - 15:00 Lecture TubeDistance Learning
Wed27.05.202013:00 - 15:00 Lecture TubeDistance Learning
Wed03.06.202013:00 - 15:00 Lecture TubeDistance Learning
Wed10.06.202013:00 - 15:00 Lecture TubeDistance Learning
Wed17.06.202013:00 - 15:00 Lecture TubeDistance Learning
Wed24.06.202013:00 - 15:00 Lecture TubeDistance Learning

Examination modalities

Solving examples in R, oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed10:00 - 12:3008.07.2020Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik oral22.06.2020 12:00 - 06.07.2020 12:00TISSPruefung (Studierende auf der Warteliste erhalten sicher einen Platz)
Wed10:00 - 12:0012.08.2020Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik oral13.07.2020 12:00 - 10.08.2020 12:00TISSPruefung (Studierende auf der Warteliste erhalten sicher einen Platz)
Wed10:00 - 12:0016.09.2020Sem.R. DA grün 06A oral17.08.2020 12:00 - 14.09.2020 12:00TISSPruefung (Studierende auf der Warteliste erhalten sicher einen Platz)

Course registration

Begin End Deregistration end
04.03.2020 06:00 31.03.2020 12:59 31.03.2020 23:59

Group Registration

GroupRegistration FromTo
Datenanalyse04.03.2020 15:0015.04.2020 12:59

Curricula

Study CodeSemesterPrecon.Info
033 526 Business Informatics 4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
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

Literature

No lecture notes are available.

Language

German