Teaching
Examinations SS 2021
Oral exams Prof. Häb-Umbach
The oral exams will take place on site in room P7.2.06.1. The exam date is as follows:
- Tuesday, 14.09.2021
Please register for the exam via Paul and send an email to sek@nt.uni-paderborn.de with the details name, matriculation number, subject and email address so that the time slot could be assigned to you. The examination date will be registered in PAUL by secretary`s office and applies as a binding registration.
| 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.048.24004 | Wireless Communications | L2/E2 | Häb-Umbach | ✔ | |
| 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.048.98049 | Deep Learning (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)
Bachelor Studies WS 2021/22
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 2021/22
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.