Um die Maschinen und Werkzeuge im MakerSpace voll nutzen zu können, ist es Voraussetzung, die Sicherheits- und Grundfunktionskurse zu den entsprechenden Maschinen zu besuchen. Hier lernst du Maschinendetails, Sicherheitshinweise sowie Tipps und Tricks zu Werkzeug und Material kennen.
Die Kurse bieten dir die Möglichkeit, dich näher mit der Maschine auseinanderzusetzen bevor du sie nutzt sowie dich mit den Trainern und anderen Teilnehmern im Vorfeld über dein Projekt auszutauschen.
Sicherheits- und Grundfunktionskurse erfordern keine Vorkenntnisse.
This workshops explores two of the most versatile tools used for prototyping: laser cutters and 3D printers and how to use them to design and build basic prototypes.
Learn the principles of sketching in hardware and how it can be applied to rapidly prototype connected products like phone accessories, smart home devices, in-car experiences, or medical devices without any software programming.
Learn the principles of sketching in hardware and how it can be applied to rapidly prototype connected products like phone accessories, smart home devices, in-car experiences, or medical devices without any software programming.(Part 2)
Additive manufacturing (also known as 3D printing) is revolutionising the way physical objects are designed and produced. Using our 3D printers, we will explore unique opportunities in the design process, print examples and assess how 3D printing technologies are suitable for different applications.
As digitalisation increasingly permeates our lives, digital products and services are becoming irreplaceable in many areas of an organization. Designs and ideas for apps shouldn't only come from outside an organization, but increasingly be prototyped and developed by employees themselves.
This workshop will introduce you to the fascinating world of Arduino based mobile apps. For the practical component of this workshop, we will use a readily available app framework to create a fully functional mobile app that provides a 2-way connection to your Arduino project.
Before diving into data analysis, data preparation work is almost always the first step. It often takes more effort to prep the data than performing the actual analysis! This sets the focus for day 1: What steps and tools do you require to import data from different sources? The trainer team shares best practices to help you consistently achieve high quality data. We practice importing data from databases using SQL, and methods of avoiding common pitfalls and sources of error. The exercises and group projects will focus on mobility-related data such as traffic and accident count data.
Having cleaned and prepped the data on Day 1, we will learn how to derive knowledge and insight from our dataset. We lay the foundations by discussing samples and population, data types, and visualisation using a variety of graphs. The workshop combines discussion and practical exercises using tools like statistical testing, regression and classification models. Participants have the opportunity to plan and execute a customized analysis of given mobility data (e.g. data on traffic count, accident counts, or pollution measurements). In addition, we will cover other important elements of data science.