Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
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Team IDP
Publikationen
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2005.
In:
Proceedings of the 55th Session of the International Statistical Institute.
55th Session of the International Statistical Institute (ISI), Sydney, Australia, 6-12 April 2005.
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2005.
Multifractality in financial markets.
In:
Dynamics of Socio-Economic Systems - Deutsche Physikalische Gesellschaft e. V., Bad Honnef, Deutschland, 18-24 September 2005.
Available from: https://storage.sg.ethz.ch/workshops/Summerschool05/PlakatSS05.jpg
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2005.
Optimum policies for dynamic supply chain management : competitive vs. cooperative view[paper].
In:
Proceedings of the IPLnet 2005 Workshop.
IPLnet 2005 Workshop, Needs and Opportunities for Swiss Industry, Böttstein, 6-7 September 2005.
IPLnet.
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Dietrich, Jürg; Heitz, Christoph,
2005.
Process performance analysis and layout optimization for a medium-sized manufacturing enterprise[paper].
In:
Needs and opportunities for Swiss industry.
IPLnet 2005 Workshop, Needs and Opportunities for Swiss Industry, Böttstein, 6-7 September 2005.
IPLnet.
pp. 1-9.
Available from: https://doi.org/10.21256/zhaw-1887
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Heyse, Stephan; Brodte, Annette; Bruttger, Oliver; Dürr, Oliver; Freeman, Tobe; Jung, Tom; Lindemann, Michael; Ottl, Johannes; Rinn, Bernd,
2005.
SLAS Technology: Translating Life Sciences Innovation.
10(4), pp. 207-212.
Available from: https://doi.org/10.1016/j.jala.2005.05.003