392243 Embedded Machine-Learning (EML) (Pj) (WiSe 2022/2023)

Contents, comment

This project is given in English and German.

This project is about realization of machine-learning methods in resource limited systems like IoT devices or the robot platform AMiRo. While heavy processing of such algorithms is often done externally, the method developed in this project shall be autonomous and self-sufficient. As a result, concepts must not only take quality into account, but also efficiency and feasibility with respect to the target platform.
Concrete tasks would be:
- Finding suitable methods in relation to the requirements of the target platform
- Programming of these methods in C
- Method evaluation

In diesem Projekt sollen Verfahren des Maschinellen Lernens auf ressourcenbeschränkten Systemen, wie z.B. IoT-Geräten oder dem Miniroboter AMiRo, umgesetzt werden. Während die damit verbundenen Berechnungen oftmals auf externe Dienste ausgelagert werden, soll das im Rahmen dieses Projekts entwickelte Verfahren eigenständig und unabhängig sein. Daher sind bei der Entwicklung nicht nur Qualität, sondern auch Effizienz und Umsetzbarkeit auf der Zielplattform wichtige Anforderungen.
Konkrete Aufgabenstellungen wären:
- Finden geeigneter Verfahren in Bezug auf die Anforderungen der Zielplattform
- Programmierung dieser Verfahren in C
- Evaluierung der Verfahren

Requirements for participation, required level

Teilnahmevoraussetzungen, notwendige Vorkenntnisse:
Knowledge/skills in machine-learning, C programming, robotics and software development in microcontrollers are beneficial.
Kentnisse in Machine-Learning, C-Programmierung, Robotik, und Softwareentwicklung auf Mikrocontrollern sind von Vorteil.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
block Block 3.204 10.10.2022-03.02.2023

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-M-Inf-P1_NWI Projekt 1 Projekt 1 Ungraded examination
Student information
39-M-Inf-P_ver1 Projekt Projekt Ungraded examination
Student information
FH-BMPro-2043 Projekt Biomechatronik Projekt BioMechatronik Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


Details zur Videokonferenz:
https://uni-bielefeld.zoom.us/j/98458910776?pwd=YUpTM09vYXluT1Q0UFlvVldpMVkyZz09
Meeting-ID: 984 5891 0776
Passwort: 341444

No eLearning offering available
Registered number: 3
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2022_392243@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_363073828@ekvv.uni-bielefeld.de
Coverage:
2 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, June 16, 2023 
Last update times:
Friday, June 24, 2022 
Last update rooms:
Friday, June 24, 2022 
Type(s) / SWS (hours per week per semester)
project (Pj) / 4
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=363073828
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
363073828