5 August 2022
IoT Platforms for Industry 4.0
Large amounts of data are generated in almost all areas of today's highly automated plants in the production industry. For example, during engineering or through the recording of several thousand, in some cases continuous, measured values during the operation of the production plant. Moreover, production plants are distributed around the world, which leads to increased complexity. The collected data can be analyzed - even across plants - and form the basis for interaction between the physical and digital worlds. Use cases are, for example, fault detection, increased plant availability, or even process optimization.
The current industry challenge is managing these large amounts of data, e.g., using model-based approaches, statistical methods, or artificial intelligence approaches. Interconnectedness enables the aggregation of various data, even across company boundaries, and allows for a new way of information retrieval. However, the resulting increased complexity will lead to changes in the technical infrastructures of the companies and, thus, in the human tasks. Humans rarely have to intervene actively in the production process, but they have to monitor the production process in the case of an error. Therefore, the acquired information must also be provided to the operating personnel appropriately.
The Summer School takes place at the Campus Garching, the scientific and technical center of the Technical University of Munich (TUM). TUM was one of the first universities of excellence in Germany and is one of the top universities in Europe.
We welcome all qualified participants interested in digital innovation and entrepreneurship: Business professionals, bachelor’s degree students, master’s degree students, and doctoral students from any university and industry.
In our Summer School, we would like to address topics related to managing large amounts of data with the students. How can new knowledge be gained from the data, and how can this knowledge be integrated into the entire value chain?
In the first week of the Summer School, students will learn the appropriate methods, concepts, and tools (e.g., SysML, BPMN, and DataMining methods). They will also learn the basics of market analysis, IT-enabled business model innovation, and business ecosystem analysis. Together with our industry partners (e.g., Siemens and other well-known partners), we aim to achieve this through exciting real industry examples and use cases. The partners will provide insights into the current challenges in the implementation of IoT technology.
The second week of the Summer School is focused on teamwork. In small teams, students will develop and evaluate business models based on real-world examples from our industry partners and use the learned theory from the first week to implement an ecosystem analysis. In this process, they will practically apply the newly learned techniques and finally present their innovative solutions.
In addition to the Summer School, we would like to offer participants the opportunity to visit various TUM facilities, e.g., the Maker Space of UnternehmerTUM or the European Southern Observatory, which are also located at the Campus Garching.
Acceptance of transfer credit is always a decision of receiving institutions. Any student interested in transferring 4 ECTS credits to another college or university should check directly with the receiving institution.
EUR 1300: Use 'EITsummer2022' discount code while submitting your application to benefit from the discounted tuition of 1300 EUR
Deferred Tuition Payment available