course: Master Project DSP
- teaching methods:
- overhead transparencies
- responsible person:
- Prof. Dr.-Ing. Dorothea Kolossa
- Prof. Dr.-Ing. Dorothea Kolossa (ETIT), Dr.-Ing. Steffen Zeiler (ETIT)
- see examination rules
- offered in:
- summer term
dates in summer term
- start: siehe "Sonstiges"
All statements pertaining to examination modalities (for the summer/winter term of 2020) are given with reservations. Changes due to new requirements from the university will be announced as soon as possible.
|Form of exam:||project|
|Registration for exam:||None|
In addition to strategies and methods for the solution of technical challenges, the students learn the organization of large projects in teams, methods of project planning, and structured software development including specification and unit testing.
During the course of the semester, students develop a larger DSP project in teams of 2 to 10 students. The project is usually implemented in real time on a current DSP platform.
In the summer semester 2020, no physical participation is possible. We want to, instead, use this format to allow students to participate in one of the COVID-19 Challenges at Kaggle, cf. https://www.kaggle.com/covid19
Before the start of the project lab, interested students should team up in a group of 2-10 members (as a possible support, you'll find a discussion forum in the course Moodle), should familiarize themselves with the tasks posted at Kaggle, select the challenge they plan to address, and register for the lab via email. Registration ends on April 23.
In the course of the semester, the lab is supported in the form of a weekly online meeting, in which participation is mandatory. To pass the lab, we expect a submission of the best-performing solution to kaggle, a final report which documents the code and its performance, and a final presentation via an online meeting tool.
- Basic knowledge of digital signal processing and machine learning
- good programming skills
- ideally, experience in Python programming
Im Sommersemester 2020 ist keine Anwesenheit möglich. Wir möchten es aber Studierenden ermöglichen, sich in diesem Rahmen an den COVID-19 Challenges bei Kaggle zu beteiligen, siehe https://www.kaggle.com/covid19
Link zum Moodle-Kurs: https://moodle.ruhr-uni-bochum.de/m/enrol/index.php?id=26991