Universität Wien

290169 PS Process Automatisation in Geoinformatics (2023W)

3.50 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.10. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 10.10. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 17.10. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 24.10. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 07.11. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 14.11. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 21.11. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 28.11. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 16.01. 08:00 - 11:00 GIS-Labor Geo NIG 1.OG

Information

Aims, contents and method of the course

In their daily work, geoinformatics scientists are confronted with data from different collection methods and processes. The processing of such data for the purpose of homogenization and refinement, in conjunction with the requirement to achieve ever higher degrees of automation, can only be achieved by using powerful tools. The program FME (Feature Manipulation Engine) of the company Safe Software is such a tool and has long since attained the status of a universal "toolbox" in geoinformation. With the support of more than 400 different data formats, a central data hub is available, which can be extended to individualized workspaces by an extensive set of functions, so-called "transformers". Such workspaces can be combined with each other and integrated into automated processing processes.
This course gives participants the basic know-how to use FME Desktop in their daily work. The central program modules are presented and their application possibilities are explained in practice. The emphasis is on learning workspace authoring with FME Workbench. On the basis of practical examples, central functions are presented, program routines are created for typical tasks and the linking of them to complex work processes is demonstrated.
In classroom teaching focus is on practical work with FME, which is demonstrated through a series of practical tasks and learned together. The development of the theoretical basics for the operation of FME is the responsibility of the students and is supported by the documents provided (Powerpoint slides and videos).

Assessment and permitted materials

• Final thesis: Independent creation of an FME workspace including a textual description of the algorithm
• Intermediate work: Independent application of the acquired know-how in given tasks
• Quick Theory check at the end of every module (6 in total)
• Attendance (physical and mental) from the first unit

Minimum requirements and assessment criteria

• Completed bachelor's degree
• Basic knowledge of spatial data processing with GIS systems is required.
• Rudimentary programming skills as well as know-how in the areas of data management and data homogenization are advantageous, but not essential.
• Presence in classroom teaching, remote teaching is not allowed. A maximum of two units may be excused. Absence from the first unit will result in deregistration from the course!
• Final Thesis: 50%
• Intermediate work: 30%
• Theory check: 20%

A positive conclusion is given from an overall rating of more than 51%. A maximum of two units may be missed!

Examination topics

Immanent examination character: Alternate lecture and practical exercise in the GIS laboratory. At the end of each module there are short theory checks (multiple choice).
The interim work should show the understanding of the taught content. The difficulty is increasing depending on the task. Interim work must be submitted within a maximum of two weeks.
The final thesis has the creation of a test workspace for the acceptance of a photogrammetric building restitution as content, and is implemented as teamwork. In addition to the implementation of the workspace, a documentation including description of the applied algorithms is part of the thesis too.

Reading list

Bereitgestellt via Moodle

Association in the course directory

(MK1-W2-PI) (MK2-b-PI)

Last modified: Sa 02.09.2023 14:08