183.584 Statistical Pattern Recognition
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, UE, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to apply fundamental theoretical principles of statistics and pattern recognition to pattern recognition problems and to implement simple pattern recognition algorithms.                                     

Subject of course

Implementation and evaluation of several simple classifiers

Teaching methods

Groups of 3 students solve 3 exercises and document their findings.

Mode of examination




Examination modalities

For each exercise, their will be an interview where the whole group has to defend their findings.

Course registration

Begin End Deregistration end
04.09.2023 12:00 17.10.2023 12:00

Group Registration

GroupRegistration FromTo
SME Gruppe 111.10.2023 12:0017.10.2023 12:00
SME Gruppe 211.10.2023 12:0017.10.2023 12:00
SME Gruppe 311.10.2023 12:0017.10.2023 12:00
SME Gruppe 411.10.2023 12:0017.10.2023 12:00
SME Gruppe 511.10.2023 12:0017.10.2023 12:00
SME Gruppe 611.10.2023 12:0017.10.2023 12:00


Study CodeObligationSemesterPrecon.Info
066 421 Geodesy and Geoinformation Mandatory elective1. Semester
066 453 Biomedical Engineering Not specified
066 932 Visual Computing Mandatory elective


No lecture notes are available.

Previous knowledge

Der vorhergehende Besuch einer Statistik-Vorlesung wird empfohlen, ebenso der Besuch der begleitenden Vorlesung. Grundkenntnisse in linearer Algebra (Invertierbarkeit, Rang, lineare Unabhängigkeit) sind von Vorteil.