Digitalisation has brought about societal and technological change across all areas of life. With its know-how, the ZHAW School of Engineering makes a crucial contribution to the digitalisation process, both in its education and continuing education programmes and its research and development activities.
Smart production sites and robots executing ever more complex tasks has a marked effect on the everyday work of engineers. They will increasingly plan, steer and monitor processes, solve problems and coordinate cross-disciplinary tasks, all of which requires solid digitalisation skills. This is why specialist skills and knowledge in Information Technology and Data Analysis are being taught from the first semester in all ZHAW School of Engineering degree programmes. Practical and, in part, interdisciplinary projects form a key part of the curriculum, fostering generic skills such as working in a team, communication skills as well as project and process management. In addition to conventional forms of learning and teaching, digital methods are being applied inteaching, among them interactive simulations, interconnected knowledge platforms and Virtual Reality environments.
- “There will be a great deal more forms of teaching in the mix than today.”
- Submerge yourself in a real-life work environment with your digital twin.
- “We provide every opportunity for those with an interest in Virtual Reality”
- Next-level physics lessons
- The ZHAW’s Learning Factory explains the principle of Industry 4.0
- First university-level institution with a Digital Learning Factory
Digitalisation may open up a range of opportunities, but it also requires new business models, processes and customer relationships. Plants, systems and entire businesses are increasingly data driven. It is against this background that Data Science has evolved to be one of the key components in any successful transformation strategy. The ZHAW School of Engineering therefore offers a range of continuing education programmes in the fields of Data Science and Industry 4.0.
- MAS Data Science
- DAS Data Science
- CAS Machine Intelligence
- CAS Statistical Modelling
- CAS Datenanalyse
- CAS Big Data Analytics, Blockchain and Distributed Ledger
- CAS Data Product Design
- CAS Information Engineering
- CAS Industrie 4.0 – Von der Idee zur Umsetzung
- CAS Predictive Maintenance
- CAS Angewandte IT-Sicherheit
- CAS Additive Fertigung
"Intelligent interconnectedness not only plays an increasingly important role in industry, but in almost all areas of life."
Behind buzzwords such as Data Science, Deep Learning, Smart City or Industry 4.0, new areas of research explore the chances and risks of an intelligently interconnected world. The complexity of these topics requires knowledge from various disciplines and the ability to work together in expert networks. This is why the ZHAW School of Engineering has created theme-based platforms for researchers across specialisations to bundle their know-how. They support companies, institutions and the administration in their transformation processes and in the development of new models for both business and living.
- Industrie 4.0
- Intelligent Motion
- Medical Systems – Systems-based Medicine
- Smart Cities and Regions
Tackling food waste with artificial intelligence
KITRO and the ZHAW School of Engineering have come together to wage war on food waste. Using artificial intelligence, they are supporting restaurants and catering establishments in reducing the amount of food that ends up in the bin.
From company and hospital canteens to restaurants and hotels – all contributed to the 210,000 tonnes of edible food that was thrown away in the Swiss catering industry during 2019. This equates to around seven percent of all food waste in Switzerland. The Swiss start-up KITRO is tackling this problem with the help of artificial intelligence. KITRO’s system weighs the food waste in each instance and records it with a camera. The photos are then assessed by a deep learning algorithm, meaning an entire carrot can be distinguished from a few peelings. The results are displayed on a personal dashboard, thus serving as a decision-making tool that provides assistance in both identifying food waste and avoiding it in future. KITRO also offers users advisory services in this regard. In addition to generating less waste, companies benefit from reducing their business costs.
The company was founded by Naomi MacKenzie and Anastasia Hofmann. “In our work environment, seeing vast amounts of food going to waste is nothing out of the ordinary,” explains Naomi MacKenzie. “It is important to us that food is valued again.” The two of them came up with the business idea during their training at the École hôtelière de Lausanne. To turn the project into reality, however, they required a partner with the appropriate technical know-how. As part of a start-up support programme, the company founders were referred to the ZHAW School of Engineering. Matthias Rosenthal, a professor at the Institute of Embedded Systems, took on the project, with funding coming from Innosuisse. “The project idea combines something very basic – cooking and eating – with high-tech image processing and machine learning,” says the researcher. “The aim is to use resources more sustainably and carefully in the future without having to limit ourselves in the process.”
More than 80 KITRO systems are now in use at catering and hotel businesses in Switzerland, with focus currently being placed on the domestic market. “This is allowing us to support companies that have been stricken by the coronavirus crisis,” says Naomi MacKenzie. “In future, however, we also want to establish ourselves at an international level. After all, food waste is a global problem.” The cooperation with the ZHAW is set to continue as they embark on this goal. “We have many ideas about how our system could be improved,” she says. “Thanks to the motivation and support that we receive from the ZHAW, we will also be able to turn these into reality.” Matthias Rosenthal adds: “We are able to work creatively and efficiently with the young and dynamic KITRO team. Our research results are integrated directly into the company’s existing processes.”