Oral examinations WS 2023/24
Oral exams Prof. Häb-Umbach
Exams can be taken in all subjects offered by Prof. Häb-Umbach in the winter semester 2022/23. The exam dates are as follows:
- Wednesday, 13.03.2024
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.
Oral exams Dr. Jörg Schmalenströer
Exams can be taken in all subjects offered by Prof. Häb-Umbach in the winter semester 2022/23. The exam dates are as follows:
- Monday, 19.02.2024
- Monday, 11.03.2024
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 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.048.98005 | 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)
Bachelorveranstaltungen SS 2024
Zeitdiskrete Signalverarbeitung
V: Mo 09:15 - 10:45 Uhr, Raum: P7.4.02
Ü: Mo 14:00 - 15:30 Uhr Raum: P7.2.02.1
Masterveranstaltungen im SS 2024
Wireless Communications
V: Di 09:15 - 10:45
Ü: Di 11:15 - 12:45
Raum: P1.5.08.2
Statistical and Machine Learning
V: Di 14:00 - 15:30
Ü: Di 15:45 - 17:15
Raum: P1.4.18
Digitale Sprachsignalverarbeitung
V: Do 09:15 - 10:45 Uhr
Ü: Do 11:00 - 12:30 Uhr
Raum: P7.4.02
Contact & Questions
- The preliminary meeting for all projects offered will take place on Monday, October 07th, 2024 at 13.00h in room P7.4.02.
- Please contact the instructors listed in the table if you have questions or need help.