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.                                     

Implementation and evaluation of several simple classifiers

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

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

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.