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 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
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Team IDP
Publikationen
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Ho, Yen-Yi; Cope, Leslie; Dettling, Marcel; Parmigiani, Giovanni,
2007.
Statistical methods for identifying differentially expressed gene combinations.
In:
Methods in molecular biology.
New York:
Humana Press.
pp. 171-191.
Methods in Molecular Biology ; 408.
Available from: https://doi.org/10.1007/978-1-59745-547-3_10
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2007.
Travel time estimation for long freeway sections.
In:
Swiss Statistics Meeting, Lucerne, 14 -16 November 2007.
Swiss Statistical Society (SSS).
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van Bonn, Bernhard; Heitz, Christoph,
2007.
Weltweites Netz von Distributionsstandorten optimiert.
Industrie 4.0 Management.
23(5), pp. 71-74.
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Heber, Steffen; Sick, Beate,
2006.
Quality assessment of affymetrix GeneChip data.
OMICS: A Journal of Integrative Biology.
10(3), pp. 358-368.
Available from: https://doi.org/10.1089/omi.2006.10.358
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Dürr, Oliver,
2006.
Multivariate analysis of siRNA / high content screening data.
In:
Right Symposium on RNAi & High-Content Screening, Dresden, Germany, 12 September 2006.