Maschinelles Lernen in der Produktion WS 24/25
Maschinelles Lernen in der Produktion (Fakultät Maschinenwesen)
Methoden des maschinellen Lernens finden zunehmend Einzug im Produktionsumfeld. Durch die zunehmende Digitalisierung in der Fertigung werden zeitgemäße Lösungen benötigt, um effektiv mit der rasant wachsenden Datenmenge zu arbeiten. In der LV werden die theoretischen Methoden zum maschinellen Lernen im Produktionsumfeld mit praktischen Anwendungen in Verbindung gebracht. Dazu gehören:
- Erfassung von Daten aus Sensoren und Maschinen
- Vorverarbeitung und Verknüpfung von Daten
- Maschinelle Lernalgorithmen, u.a. SVM, Entscheidungsbäume, Neuronale Netze, sowie deren Anwendung und Bewertung.
Machine learning methods are increasingly gaining a foothold in the production environment. Due to the increasing digitization in manufacturing, up-to-date solutions are needed to work effectively with the rapidly growing amount of data. In the course, the theoretical methods for machine learning in the production environment are related to practical applications. These include:
- Acquisition of data from sensors and machines
- Pre-processing and linking of data
- Machine learning algorithms, including SVM, decision trees, neural networks, and their application and evaluation.
Welcome students to our Internship platform…
finding an Internship in a country where you have been for a couple of months is a challenge. "Where do I start looking?" "How do I find the right place for me?" "When should I start?" "How long does it last?" "What should I do?“,
are some of the most recurrent questions at the time of starting the search for the Internship.
We have created this informative platform in order to help you in some of these steps and make the search a little lighter for you, as well as the preparation of your CV and Interview.
In the following, we will present different tools that will be useful for you to search and apply to different companies for your Internship.
We will share with you different links and Websites that you can visit to find your ideal place.
We will also share different kind of information about how to prepare your CV and how to prepare for the interview at the company.
Attached you will also find the documents you need for your application. These documents are in German and English.
You will also find a list of frequently asked questions regarding your internship, from the beginning to the end.
If you have further questions or would like to add more information, please do not hesitate to contact us. Your feedback is always welcome:
Carla Zambrano
zambrano@hs-mittweida.de
We are ready to help you in your search!
We wish you good luck and success.
Our best regards
- Dieser Inhalt ist freigegeben von 01.10.2024 00:00 Uhr bis 31.03.2025 23:59 Uhr.