104.319 Geometry for Computer Science
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, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to solve problems of planar and spatial geometry with standard methods. The students recognize relations to computer graphics, vision and image processing. The students get to know the main geometric properties of curves and surfaces and examples relevant for applications.

Subject of course

The lecture provides basic principles in different areas of geometry, which are important for applications in computer science such as computer graphics, computer vision and image processing. The following areas are treated taking in consideration application in the above mentioned fields: 1. Elementary Analytic Geometry, 2. Projective Geometry (homogeneous coordinates, projective transformations, quadrics), 3. Differential Geometry (curve theory, geometry on surfaces, curvature theory of surfaces, numerical aspects).

Teaching methods


Mode of examination




Course dates

Fri10:00 - 12:0009.10.2020 - 15.01.2021 online (LIVE)Lecture
Fri11:00 - 12:0020.11.2020 (LIVE)Exercise discussion
Geometry for Computer Science - Single appointments
Fri09.10.202010:00 - 12:00 onlineLecture
Fri16.10.202010:00 - 12:00 onlineLecture
Fri23.10.202010:00 - 12:00 onlineLecture
Fri30.10.202010:00 - 12:00 onlineLecture
Fri06.11.202010:00 - 12:00 onlineLecture
Fri13.11.202010:00 - 12:00 onlineLecture
Fri20.11.202011:00 - 12:00 Exercise discussion
Fri27.11.202010:00 - 12:00 onlineLecture
Fri04.12.202010:00 - 12:00 onlineLecture
Fri11.12.202010:00 - 12:00 onlineLecture
Fri08.01.202110:00 - 12:00 onlineLecture
Fri15.01.202110:00 - 12:00 onlineLecture

Examination modalities


Course registration

Begin End Deregistration end
01.10.2020 00:00 31.10.2020 23:59 31.01.2021 23:59


Study CodeSemesterPrecon.Info
066 932 Visual Computing 1. Semester


No lecture notes are available.