course: Master project Pattern recognition

number:
142041
teaching methods:
project
responsible person:
Prof. Dr.-Ing. Do­ro­thea Kolossa
lecturer:
Prof. Dr.-Ing. Do­ro­thea Kolossa (ETIT)
language:
german
HWS:
3
CP:
3
offered in:
winter term

dates in winter term

  • kick-off meeting: Friday the 11.10.2019 from 10:00 in ID 2/232

Exam

Form of exam:project
Registration for exam:Directly with the lecturer
continual assessment

goals

In addition to strategies and methods for the solution of technical challenges, the students learn the organization of large projects in teams, methods of project planning, and structured software development including specification and unit testing.

content

In this course, students, in groups of up to 10, implement a complete, research-relevant project from the areas of pattern recognition and machine learning.

An example for a topic that can realistically be addressed within one semester is face localization and tracking in photos or video sequences.

Participation in the weekly lab hours is mandatory.

requirements

keine

recommended knowledge

  • Basic knowledge of digital signal processing
  • good programming skills