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Foto: Universität Paderborn, Jörg Ullmann Show image information
Foto: Universität Paderborn, Jörg Ullmann Show image information
Foto: Universität Paderborn, Jörg Ullmann Show image information

Foto: Universität Paderborn, Jörg Ullmann

Foto: Universität Paderborn, Jörg Ullmann

Foto: Universität Paderborn, Jörg Ullmann

Teaching

Number Lecture Credits Instructor WS SS
L.048.10901 Nachrichtentechnik L2/E2
ECTS 5
Häb-Umbach
Ebbers
Kuhlmann
 
L.048.23018
L.048.92030
Topics in Pattern Recognition and Machine Learning L2/E2
ECTS 6
Häb-Umbach
Böddeker
 
L.048.24010
L.048.92011
Optimal and Adaptive Filter L2/E2
ECTS 6
Schmalenströer
Gburrek
 
L.048.21004 Statistical Signal Processing L2/E2
ECTS 6
Häb-Umbach
Glarner
Heitkämper
Cord-Landwehr
 
L.048.10502 Project 'Applied Programming' E2 Ullmann  
L.048.10908 Discrete-Time Signal Processing L2/E2
ECTS 6
Schmalenströer  
L.048.92005 Statistical and Machine Learning L2/E2
ECTS 6
Häb-Umbach  
L.048.24001 Digital Speech Signal Processing L2/E2
ECTS 6
Schmalenströer  
L.048.62003 Research Seminar 'Communications Engineering' S2
ECTS 3
Häb-Umbach
Schmalenströer
L.048.10809 Project Seminar Communications Engineering S2
ECTS 3
Häb-Umbach
L.048.98005 Communications Engineering  (Project) P6
ECTS 9
Häb-Umbach
Schmalenströer
L.048.98501 Communications and Speech Processing (Project) P6
ECTS 9
Häb-Umbach
Schmalenströer
L.048.98006 Digital Signal Processing (Project) P6
ECTS 9
Häb-Umbach
Schmalenströer

Degree program overview

Bachelor Studies Electrical Engineering (EBA)

1. Study Section Electrical Engineering Studies

  • L.048.10809 Project Seminar Communications Engineering

2. Study Section Electrical Engineering Studies

  • L.048.10901 Communications Engineering

2. Study Section Electrical Engineering Studies: Information Technology

  • L.048.10908 Discrete-Time Signal Processing

2. Study Section with Minor Subject Vocational Education

  • L.048.10901 Communications Engineering
  • L.048.10809 Project Seminar Communications Engineering
  • L.048.10908 Discrete-Time Signal Processing
Master Studies Electrical Engineering (EMA)

Compulsory Subject

  • L.048.21004 Statistical Signal Processing

Cognitive Systems

  • L.048.23018 Topics in Pattern Recognition and Machine Learning
  • L.048.23012 Statistical and Machine Learning

Communications

  • L.048.24010 Optimal and Adaptive Filters
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications

Projects

  • L.048.28006 Digital Signal Processing (Project)
  • L.048.28005 Communications Engineering (Project)
Bachelor Studies Computer Engineering (CEBA)

2. Study Section: Compulsory Area

  • L.048.10901 Communications Engineering

2. Study Section: Mandatory Elective Module Electrical Engineering

  • L.048.10908 Discrete-Time Signal Processing
Master Studies Computer Engineering (CEMA)

Compulsory Area

  • L.048.21004 Statistical Signal Processing

Area of Specialisation: Communications and Networks

  • L.048.24010 Optimal and Adaptive Filter
  • L.048.24004 Wireless Communications

Area of Specialisation: Signal, Image and Speech Processing

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

Project Group Computer Engineering

  • L.048.28501 Project Group Communications and Speech Processing
Bachelor Studies Business Administration and Engineering (Electrical Engineering) (WGBAET)

Advanced Studies, Compulsory Elective Modules Engineering

  • L.048.10908 Discrete-Time Signal Processing
  • L.048.10901 Communications Engineering

Advanced Studies, Project Seminars

  • L.048.62003 Research Seminar Nachrichtentechnik
Master Studies Business Administration and Engineering (Electrical Engineering) (WGMAET)

Compulsory Elective Modules Engineering

  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications
  • L.048.23012 Statistical and Machine Learning
  • L.048.23018 Topics in Pattern Recognition and Machine Learning
  • L.048.21004 Statistical Signal Processing
  • L.048.24010 Optimal and Adaptive Filters
Teacher Education for Vocational College Teachers for Electrical Engineering

Bachelor Studies

  • L.048.10502 Project Applied Programming

Master Studies: Subject-specific Studies

  • L.048.10901 Communications Engineering

Master Studies: Minor Professional Discipline Automation Technology

  • L.048.10908 Discrete-Time Signal Processing
  • L.048.23012 Statistical Learning and Pattern Recognition

Master Studies: Minor Professional Discipline 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
Master Studies Electrical Systems Engineering

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)
Project work and seminars WS 20/21
  • All project work does NOT take place this winter semester; in the sommer semester some are offered again.
  • Project seminar Communications Engineering does NOT take place.
  • Research seminar Communications Engineering takes place by appointment.
Bachelor Studies WS 20/21

Nachrichtentechnik

The courses will be given in online format. Please log into the online learning tool PANDA. Students who have registered for the course in PAUL will see the respective course in their PANDA account.

Master Studies WS 20/21

Topics in Pattern Recognition and Maschine Learning

Optimale and Adaptive Filter

Statistical Signal Processing

The courses will be given in online format. Please log into the online learning tool PANDA. Students who have registered for the course in PAUL will see the respective course in their PANDA account.

Contact & Questions
  • Please contact the instructors listed in the table if you have questions or need help.

The University for the Information Society