280.091 Statistical Methods of Spatial 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.

2020W, VO, 2.0h, 2.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 2.0
  • Type: VO Lecture
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to apply the approriate multivariate methods in the context of spatial analysis with the help of SPSS and to interpret and critically discuss the results .

Subject of course

Regression, Analysis of Variance, Correlations, Clusteranalysis

Teaching methods

Lecture containing theoretical basics, applications and examples

Mode of examination

Written

Additional information

The Lecture will be held ONLINE! The link to the livestream can be found in the TUWEL course!

Please install SPSS 25.0 or 24.0 on your computer

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu11:00 - 13:0008.10.2020 - 28.01.2021 (LIVE)Statrpl
Statistical Methods of Spatial Analysis - Single appointments
DayDateTimeLocationDescription
Thu08.10.202011:00 - 13:00 Statrpl
Thu15.10.202011:00 - 13:00 Statrpl
Thu22.10.202011:00 - 13:00 Statrpl
Thu29.10.202011:00 - 13:00 Statrpl
Thu05.11.202011:00 - 13:00 Statrpl
Thu12.11.202011:00 - 13:00 Statrpl
Thu19.11.202011:00 - 13:00 Statrpl
Thu26.11.202011:00 - 13:00 Statrpl
Thu03.12.202011:00 - 13:00 Statrpl
Thu10.12.202011:00 - 13:00 Statrpl
Thu17.12.202011:00 - 13:00 Statrpl
Thu07.01.202111:00 - 13:00 Statrpl
Thu14.01.202111:00 - 13:00 Statrpl
Thu21.01.202111:00 - 13:00 Statrpl
Thu28.01.202111:00 - 13:00 Statrpl

Examination modalities

Examination on the computer: Multiple choice, open questions & SPSS applications.  the 3rd and 4th repetition has to be taken as an oral exam. A minimum requirement for a postive result are 50 % of the achievable points

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
033 240 Spatial Planning Mandatory3. Semester

Literature

No lecture notes are available.

Previous knowledge

Basic mathematics and statistics as well as the software SPSS

Language

German