Pattern Recognition


  • Bayesian decision rule
  • Performance assessment in pattern recognition
  • Supervised learning with parametric densities
  • Supervised learning with non-parametric densities, classification
  • Linear decision functions, single-layer perceptron
  • Support vector machines (SVMs)
  • Multi-layer perceptron, neural networks (NNs)
  • Boosting methods
  • Non-supervised learning, clustering


Lecturer: Prof. Tim Fingscheidt

Assitant: Maximilian Strake


Lecture (ET-NT-102):

Contact hours (SWS): 2 h

Time: Mon 13:15 - 14:45

Location: SN 22.2

Start: 28 Oct 2019

Language: German


Seminar (ET-NT-103):

Contact hours (SWS): 2 h (held as block seminar)

Date: 13./14. 02. 2020

Time: 9.00AM - 4.30PM

Location: SN 22.2

Language: German


Accompanying material:

The lecture script (pdf document) can be downloaded here. Username and password will be announced in the lecture.




Latest information

The registration for oral exam dates will start on 07.01.2020 !






Examination type: oral


Date:  24.02. / 25.02. / 26.02. / 27.02. / 28.02.2020

plus      16.03. / 17.03. / 23.03.2020


Time: on appointment with Mrs. Erichsen-Rua

Location: room 306

Consultation hour (questions about exam): by agreement with Maximilian Strake


Information abaut exam:

Registration and appointment arrangement of the examination can be done by e-mail to Eike-Asslo Erichsen-Rua. Please give the following information: name, first name, matriculation number, course of study, semester and e-mail address.

Registration period/deadline: 1.02. 2019

In order to cancel the registration please inform Eike-Asslo Erichsen-Rua and do not forget to inform your faculty.


Updated: Tuesday, 21 January 2020