Or­al ex­am­in­a­tions dates WS 2025/26

Oral examinations Dr. Schmalenströer

Examinations can be taken in all subject areas offered by Dr. Schmalenströer in the winter semester 2025/26. The examination dates are as follows:

  • Wednesday, 11.03.2026

Please register in PAUL in good time and send an email to sek@nt.uni-paderborn.de with your name, matriculation number, subject and email address so that you can be allocated a time slot for the exam. The examination date will be entered in PAUL by the secretary's office and is considered a binding confirmation.

Wire­less Com­mu­nic­a­tions

Master Studies SS 2026

L: Tue 09:15 - 10:45 Uhr, Start: 14.04.2026
E: Tue 11:15 - 12:45 Uhr, Start: 14.04.2026
Room: P7.4.02

In­form­a­tion The­ory

Master Studies SS 2026

L: Tue 14:00 - 15:45 Uhr, Start: 14.04.2026
Room: P7.4.02

Dis­crete-time sig­nal pro­cessing

Bachelor Studies SS 2026

L: Mo 09:15 - 10:45 Uhr, Start: 13.04.2026
Room: P7.4.02
E: Mo 14:00 - 15:30 Uhr, Start: 13.04.2026
Room: P1.6.12.4

Di­git­al Speech Sig­nal Pro­cessing

Master Studies SS 2026

L: Thu 09:15 - 10:45 Uhr, Start: 16.04.2026
E: Thu 11:00 - 12:30 Uhr, Start: 16.04.2026
Room: P7.4.02

Pro­ject work

We offer a wide range of project work.

For all project work offered, the preliminary meeting will take place on Tuesday, 15.04.2026 at 13:00 in room P7.4.02.

Am­a­teur ra­dio

Here you will find all the possibilities for amateur radio with us.

Course numberCourseLengthLecturerWSSS
L.048.10901
L.048.10951
Communications Engineering
Signal and Information Transmission
V2/Ü2
ECTS 5
Bho Matthiesen
Kuhlmann
 
L.048.24010
L.048.92011
Optimal and adaptive filtersV2/Ü2
ECTS 6
Schmalenströer 
L.048.21004Processing of statistical signalsV2/Ü2
ECTS 6
Bho Matthiesen 
L.048.10502Applied programming projectÜ2Ullmann 
L.048.24004Wireless CommunicationsV2/Ü2
ECTS 6
Bho Matthiesen
Kuhlmann
 
L.048.10908Discrete-time signal processingV2/Ü2
ECTS 6
Schmalenströer 
L.048.24001Digital speech signal processingV2/Ü2
ECTS 6
Schmalenströer 
L.048.66001Research Seminar Communications EngineeringS2
ECTS 3
Bho Matthiesen
Schmalenströer
L.048.28005Communications Engineering (Project)P6
ECTS 9
Bho Matthiesen
Schmalenströer
L.048.28501Communications and Speech Processing (Project)P12
ECTS 18
Bho Matthiesen
Schmalenströer

 

Over­view by de­gree pro­gramme

1st study section with focus on Electrical Engineering

  • L.048.10809 Project seminar in communications engineering

2nd stage of study specialising in Electrical Engineering

  • L.048.10901 Communications engineering
  • L.048.10908 Discrete-time signal processing

2nd stage of study with minor in vocational education

  • L.048.10901 Communications Engineering
  • L.048.10809 Project seminar in communications engineering
  • L.048.10908 Discrete-time signal processing

Compulsory subjects

  • L.048.21004 Processing of statistical signals

Cognitive Systems

  • L.048.23018 Current topics in pattern recognition and machine learning
  • L.048.23012 Statistical and machine learning methods

Communication Technology

  • L.048.24010 Optimal and adaptive filters
  • L.048.24001 Digital speech signal processing
  • L.048.24004 Wireless Communications

Project work

  • L.048.28006 Digital Signal Processing (Project)
  • L.048.28005 Communications Engineering (Project)

2nd study section: Compulsory area Electrical Engineering

  • L.048.10901 Communications engineering

2nd stage of study: Compulsory elective module Electrical Engineering

  • L.048.10908 Discrete-time signal processing

Compulsory subjects

  • L.048.21004 Processing of statistical signals

Communications and Networks

  • L.048.24010 Optimal and adaptive filters
  • L.048.24004 Wireless Communications

Signal, Image and Speech Processing

  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.24010 Optimal and Adaptive Filters
  • L.048.23012 Statistical and Machine Learning Methods
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications

Computer Engineering Project Group

  • L.048.28501 Project Group Communications and Speech Processing

Specialisation course, compulsory technical elective module

  • L.048.10908 Discrete-time signal processing
  • L.048.10901 Communications engineering

Advanced studies, project seminars

  • L.048.62003 Research seminar in communications engineering

Compulsory technical elective modules

  • L.048.24001 Digital speech signal processing
  • L.048.24004 Wireless Communications
  • L.048.23012 Statistical and machine learning methods
  • L.048.23018 Current topics in pattern recognition and machine learning
  • L.048.21004 Processing statistical signals
  • L.048.24010 Optimal and adaptive filters

Bachelor degree programme

  • L.048.10502 Applied Programming Project

Master's programme: Specialised studies

  • L.048.10901 Communications Engineering

Master's programme: Minor vocational specialisation in automation engineering

  • L.048.10908 Discrete-time signal processing
  • L.048.23012 Statistical Learning Methods and Pattern Recognition

Master's programme: Minor vocational specialisation in Information Technology

  • L.048.24010 Optimal and adaptive filters
  • L.048.24004 Wireless Communications
  • L.048.24001 Digital Speech Signal Processing
  • L.048.10908 Discrete-time signal processing

Compulsory objectives: Module: Signal & Information Processing

  • L.048.92005 Statistical and Machine Learning

Compulsory

electives: Module: Fundamentals of ESE

  • L.048.92041 Digital Speech Signal Processing

Compulsory electives: Module: Signal & Information Processing

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92035 Wireless Communications

Compulsory electives: Module: ESE-Electives

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92005 Statistical and Machine Learning
  • L.048.92035 Wireless Communications

Compulsory electives: Projects

  • L.048.28005 Communications Engineering (Project)
  • L.048.28006 Digital Signal Processing (Project)