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IoT Platforms for Industry 4.0 | Summer School
Self-organizing intelligent automated production systems (APS), which can produce mass products according to individual customer requirements, are a core topic of Industry 4.0. A fundamental precondition for mass customization is the Internet of Things (IoT), which has become established in almost all industrial areas (connected vehicles, infrastructure, logistics).
Through IoT, data can be generated from nearly all physical devices in the production process, including the products themselves, and it can be made available worldwide via the Internet. The gathered data is stored and can be evaluated across production plants and provides the basis for active and reactive interaction between the physical and digital worlds. Use cases are, for example, error detection or process optimization.
A current challenge in this context is managing the collected data (Big Data to Smart Data), e.g., utilizing model-based approaches, statistical methods, and artificial intelligence methods. Furthermore, Industry 4.0 approaches do not only change the technical infrastructures within the company and across company boundaries but also transform the tasks of the human in the process. The increased autonomy of production plants also leads to increased complexity in production plants. While networking and the thereby enabled aggregation of data across company boundaries lead to a new way of information retrieval, this information must also be presented appropriately for the operating staff.
The exploration of specific and tangible use cases could indicate how companies can combine their products, manufacturing processes, and product development and obtain more customer-oriented products and services.
During this summer school, organised by the Technical University of Munich (TUM), participants will understand the basics of the Internet of Things and Industry 4.0. They will learn how companies use IoT platforms for enhanced value creation in the fields of product design, manufacturing, process control, and customer integration under consideration of the humans in this complex process. Further, companies offer insights into state-of-the-art challenges when implementing IoT technology. The participants gain hands-on experience in prototyping with IoT technology and will be able to evaluate the economic benefits of IoT applications and their opportunities for new business models. In the summer school, the participants will learn how to apply state of the art techniques to create innovative solutions and pitch their ideas. Furthermore, they will be able to develop and evaluate business models, perform an ecosystem analysis, and calculate a business case for real cases of our industry partners.
Location: TUM Campus Garching (Subway Station: Garching Forschungszentrum).
Each programme has a focus on business innovation and entrepreneurship, there is no need to have specific technical backgrounds or any coding knowledge to join our Summer School.
To qualify for admission, applicants need to submit a completed application form and fulfil the admission requirements:
Academic qualification - post-secondary education (bachelor’s degree, master’s degree, or doctoral degree). Undergraduate students still studying must have completed at least one academic year of their bachelor’s degree programme and have at least one year of work or internship experience.
English language proficiency (English language proficiency test such as TOEFL or IELTS, successful completion of previous education in English, completion of ESL programme, completion of other English language courses, etc.).
Submit a Curriculum Vitae
Submit a copy of the photo page of the passport or ID
When your application is accepted, you will be invoiced according to your Summer School fee category.
Tutkinto / todistus
EIT Digital Summer School fees 2022
Early Bird Tuition Fees
- Individuals: EUR 1300
- Groups*: 15% discount
Regular Tuition Fees
- Individuals: EUR 1600
- Groups*: 15% discount
*5 or more participants.
Use the discount code "EITeducations2022" before application deadline to apply for the early bird discounted tuition fee
For more information about tuition fees, please check the course webpage.
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