Coronavirus - Informations and Recommendations:

280.114 Computer Assisted 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, 4.0h, 5.0EC


  • Semester hours: 4.0
  • Credits: 5.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to...

... process, analyse and visualise spatially and planning based data.
... process questions relevant for planning and to elaborate on them using adequate software.

Subject of course

The course is devided in two thematic sections.

First thematic section – spreadsheet analysis and data processing
The course is initially concentrating on practice-oriented transfer of knowledge about the application of spreadsheet softwares. The students get to know the different tools for analysis of planning based data by using the widespread software MS-Excel. On the basis of these functions and tools, can then be considered examples of planning based data acquisition, preparation, analysis and visualisation. The aim of the course is getting know different approaches to questions of content and answering these questions based on analysis and evaluation. The examination mode is based on two computer-based test. First interim test: Application of learned tools and functions. Second interim test: Processing questions of content independently and creatively

Second thematic section – analysis and visualisation of spatially based data
The second thematic section is about the preparation and analysis of spatially based data by using statistics software (SPSS) and geo-information software (QGIS). Related with the presented methods and software tools, the students have to analyse the accessibility of public transport stations in vienna. This task must be processed in groups of two. The examination mode is based on a report on results in form of spreadsheets, maps, diagrams and analysis texts.

Teaching methods

- practice-oriented introduction to the use of spreadsheet software through lectures
- Independent solving of exercises with the support of tutors
- project work

Mode of examination


Additional information

Bring your own - if available - notebooks with working MS Excel.

Software downloads:
Microsoft Excel via TU.IT:
QGIS: (independent QGIS-Installation Version 3.4)

It is absolutely necessary to come to the preliminary discussion on 02. March 2020 at 16:30 at Hörsaal W4 ("Alte WU").

Changes in the Course due to the corona pandemic (status <18.03.2020>): The Course takes place as planned - the presence times are converted into "virtual units". The first "Zwischentest" is postponed for the moment - as soon as a date is fixed, it will be communicated via TISS. You will find more details in the info sheet in the documents in TISS and TUWEL.

All necessary documents are available in TUWEL.




Course dates

Mon16:30 - 18:0002.03.2020Hörsaal W4 Vorbesprechung CDA
Mon10:00 - 13:0009.03.2020 - 22.06.2020GM 2 Radinger Hörsaal Lectures
Computer Assisted Data Analysis - Single appointments
Mon02.03.202016:30 - 18:00Hörsaal W4 Vorbesprechung CDA
Mon09.03.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon16.03.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon23.03.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon30.03.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon20.04.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon27.04.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon04.05.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon11.05.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon18.05.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon25.05.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon08.06.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon15.06.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures
Mon22.06.202010:00 - 13:00GM 2 Radinger Hörsaal Lectures

Examination modalities

This course has an immanent mode of examination.

The examination mode for the first thematic block is based on two intermediate tests, each of which has to be solved independently on a computer at the EDV-Labor. Both tests have to be completed with a positive score. Basically, attendance at the intermediate tests is compulsory - please make a note on the dates early on! For proven excuses and those who haven't scored enough points on one of the two tests, there is a replacement test.

The examination mode for the second thematic block is based on a report on a spatial-analytical content-related question, which is elaborated in groups of two.

Detailed assessment criteria will be presented during the Kick-Off session and will then be available via TISS.

For all those students, who received a negative grade last year, but had a positive score on one of the two thematic blocks, we offer to credit this positively completed part from last year (but not from any other previous term). However, officially the whole course has to be taken again - thus, please register in TISS as usually and participate at the kick-off session - or write an email to latest until 02.03.2020 10 am!

Attention! This solution as a gesture of goodwill is set to end in SS2020. Positiv score cannot be transferred to the next year!


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri16:00 - 18:0015.05.2020 EDV Labor (Hauptgebäude, Stiege 7)written06.04.2020 10:00 - 13.05.2020 23:55TISSZwischentest 2 (Einheit 5-8) 16:00
Fri18:00 - 20:0015.05.2020 EDV Labor (Hauptgebäude, Stiege 7)written06.04.2020 10:00 - 13.05.2020 23:55TISSZwischentest 2 (Einheit 5-8) 18:00
Wed16:00 - 18:0017.06.2020 EDV Labor (Hauptgebäude, Stiege 7)written16.05.2020 20:00 - 15.06.2020 23:55TISSTest Ersatztermin (Einheit 1-8) 16:00

Group dates

Gruppe [1]: HS 6 (LAPTOP!!)Mon14:00 - 17:0009.03.2020 - 29.06.2020Hörsaal 6 Gruppe [1]: HS 6 (LAPTOP!!)
Gruppe [2]: EDV-LaborMon14:00 - 17:0002.03.2020 - 29.06.2020 EDV-Labor (Hauptgebäude, Stiege 7, EG): PC7 / PC8Group [2] - EDV-Labor

Course registration

Begin End Deregistration end
31.12.2019 15:00 05.03.2020 23:59 05.03.2020 23:59

Group Registration

GroupRegistration FromTo
Gruppe [1]: HS 6 (LAPTOP!!)02.03.2020 08:0009.03.2020 13:00
Gruppe [2]: EDV-Labor02.03.2020 08:0009.03.2020 13:00


Study CodeSemesterPrecon.Info
033 240 Spatial Planning 2. Semester


No lecture notes are available.

Previous knowledge

Basic knowledge on Microsoft Windows operating system.

Continuative courses