Teaching & examinations
Oral examination dates SS 2024
Oral examinations Prof. Häb-Umbach
Examinations can be taken in all subject areas offered by Prof. Häb-Umbach in the summer semester 2024. The examination dates are as follows
- Tuesday, 23.07.2024 (in the afternoon)
- Wednesday, 24.07.2024 (in the afternoon)
- Thursday, 25.07.2024 (in the morning)
- Tuesday, 10.09.2024
- Wednesday, 11.09.2024
- Thursday, 12.09.2024 (in the morning)
Oral examinations Dr. Schmalenströer
Examinations can be taken in all subject areas offered by Dr. Schmalenströer in the summer semester 2024. The examination dates are as follows
- Wednesday, 28.08.2024
- Tuesday, 10.09.2024
- Tuesday, 24.09.2024
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.
| Course number | Course | Length | Lecturer | WS | SS |
| L.048.10901 | Communications Engineering | V2/Ü2 ECTS 5 | Häb-Umbach Cord-Landwehr | ✔ | |
| L.048.23018 L.048.92030 | Topics in Pattern Recognition and Machine Learning | V2/Ü2 ECTS 6 | Häb-Umbach Böddeker | ✔ | |
| L.048.24010 L.048.92011 | Optimal and adaptive filters | V2/Ü2 ECTS 6 | Schmalenströer Gburrek | ✔ | |
| L.048.21004 | Processing of statistical signals | V2/Ü2 ECTS 6 | Häb-Umbach von Neumann | ✔ | |
| L.048.10502 | Applied programming project | Ü2 | Ullmann | ✔ | |
| L.048.24004 | Wireless Communications | V2/Ü2 ECTS 6 | Häb-Umbach Kuhlmann | ✔ | |
| L.048.10908 | Discrete-time signal processing | V2/Ü2 ECTS 6 | Schmalenströer Gburrek | ✔ | |
| L.048.23012 | Statistical and Machine Learning | V2/Ü2 ECTS 6 | Häb-Umbach Böddeker von Neumann | ✔ | |
| L.048.24001 | Digital speech signal processing | V2/Ü2 ECTS 6 | Schmalenströer Cord-Landwehr Rautenberg | ✔ | |
| L.048.62003 | Research Seminar Communications Engineering | S2 ECTS 3 | Häb-Umbach Schmalenströer | ✔ | ✔ |
| L.048.28005 | Communications Engineering (Project) | P6 ECTS 9 | Häb-Umbach Schmalenströer | ✔ | ✔ |
| L.048.28501 | Communications and Speech Processing (Project) | P12 ECTS 18 | Häb-Umbach Schmalenströer | ✔ | ✔ |
| L.048.28049 | Deep Learning (Project) | P6 ECTS 9 | Häb-Umbach 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)
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
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)