120.008 Geometrical Algorithms for GIS
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018S, VO, 1.0h, 1.0EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.0
  • Type: VO Lecture

Aim of course

Learn basic and advanced algorithms and data structure to handle geometric problems

Subject of course

Representation and analysis of geometric data:

- notion of algorithm

- complexity analysis

- efficiency

- algorithms and data structures for basic computational geometry problems

- algorithms and data structures for advanced computational geometry problems

- plane sweep approach

- spatial access methods

Lecturers

  • Fogliaroni, Paolo

Institute

Course dates

DayTimeDateLocationDescription
Thu09:00 - 10:0008.03.2018 - 14.06.2018Seminarraum 127 Geometric Algorithms for GIS
Geometrical Algorithms for GIS - Single appointments
DayDateTimeLocationDescription
Thu08.03.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu15.03.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu22.03.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu12.04.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu19.04.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu26.04.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu03.05.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu17.05.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu24.05.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu07.06.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS
Thu14.06.201809:00 - 10:00Seminarraum 127 Geometric Algorithms for GIS

Course registration

Begin End Deregistration end
12.02.2018 00:00 13.03.2018 00:00 29.06.2018 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 421 Geodesy and Geomatics Engineering Mandatory elective2. Semester

Literature

No lecture notes are available.

Previous knowledge

Understanding of pseudo-code, implementation skills in at least one programming language (best if Python)

Language

English