Examinations SS 2023
Oral exams Prof. Häb-Umbach
Exams can be taken in all subjects offered by Prof. Häb-Umbach in the sommer semester 2023. The exam dates are as follows:
- Tuesday, July 18, 2023 (from 2 p.m.)
- Tuesday, August 29, 2023 (in the morning)
- Wednesday, August 30, 2023 (from 4 p.m.)
- Thursday, August 31, 2023 (in the morning)
- Tuesday, September 12, 2023
- Tuesday, September 26, 2023 (from 2 p.m.)
- Wednesday, October 11, 2023
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 registerd 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 Cord-Landwehr | ✔ | |
| 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 von Neumann | ✔ | |
| L.048.10502 | Project 'Applied Programming' | E2 | Ullmann | ✔ | |
| L.048.24004 | Wireless Communications | L2/E2 | Häb-Umbach Ebbers Kuhlmann | ✔ | |
| L.048.10908 | Discrete-Time Signal Processing | L2/E2 ECTS 6 | Schmalenströer Gburrek | ✔ | |
| L.048.92005 | Statistical and Machine Learning | L2/E2 ECTS 6 | Häb-Umbach Böddeker von Neumann | ✔ | |
| L.048.24001 | Digital Speech Signal Processing | L2/E2 ECTS 6 | Schmalenströer Cord-Landwehr Rautenberg | ✔ | |
| 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 Schmalenströer | ✔ | ✔ |
| L.048.98005 | Communications Engineering (Project) | P6 ECTS 9 | Häb-Umbach Schmalenströer | ✔ | ✔ |
| L.048.98501 | Communications and Speech Processing (Project) | P12 ECTS 18 | Häb-Umbach Schmalenströer | ✔ | ✔ |
| L.048.98049 | Deep Learning (Project) | P6 ECTS 9 | Häb-Umbach Schmalenströer | ✔ | ✔ |
Degree program overview
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
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)
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
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
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
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 2023/24
Nachrichtentechnik
L: Tue 9.00 - 11.00h, Start: 10.10.2023
E: Thu 11.00 - 13.00h, Start: 12.10.2023
Room: P7.2.03
Master Studies WS 2023/24
Topics in Pattern Recognition and Maschine Learning
L: Thu 14.00 - 15.30h, Start: 12.10.2023
E: Thu 15.45 - 17.15h, Start: 12.10.2023
Room: P1.4.18
Optimale and Adaptive Filter
L: Wed 9.15- 10.45h
E: Wed 11.00- 12.30h
Room: P7.4.02
Verarbeitung statistischer Signale
L: Tue 14.00 - 15.30h, Start: 10.10.2023
E: Tue 16.00 - 18.00h, Start: 10.10.2023
Room: P7.2.03
Contact & Questions
- The preliminary meeting for all projects offered will take place on Tuesday, October 17th, 2023 at 13.00h in room P7.4.02.
- Please contact the instructors listed in the table if you have questions or need help.