Inhalt

[ 404GEOCCOGV23 ] VL Computational Geometry

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mathematics Bert Jüttler 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computational Mathematics 2025W
Learning Outcomes
Competences
Students are familiar with basic methods and fundamental algorithms of computational geometry.
Skills Knowledge
  • know different tasks in Computational Geometry and different approaches to solving them (k1);
  • analyze complexity in terms of computing time and memory requirements for algorithms and data structures from algorithmic geometry (k4);
  • analyze the robustness of geometric algorithms (k4);
  • know algorithms for selected basic geometric problems and apply them to test data sets (k4);
  • know principles for the design of geometric algorithms and classify methods accordingly;
Principles for designing geometric algorithms; selected problems and algorithms for dealing with them, including data structures; properties of selected discrete geometric structures; approaches to achieving robustness and complexity analysis.
Criteria for evaluation Exam
Methods Lecture
Language English
Study material de Berg, van Krefeld, Overmars, Schwarzkopf. Computational Geometry. Springer. see also www.ag.jku.at
Changing subject? No
Further information Necessary previous knowledge: Basic lectures in mathematics
Earlier variants They also cover the requirements of the curriculum (from - to)
201GEOMCOGV14: VL Computational Geometry (2014S-2023S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment