Institute for Data Science (IDS)
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
Consulting Services
News
Team IDS
Publikationen
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Escudier, J-L; Wildi, Marc; Diebolt, C.,
2002.
Estimation des composantes longues de la conjuncture[paper].
In:
La croissance économique dans le long terme : formes historiques et prospective.
Colloque International Théorisations du Long Terme et Dépassement des Phases Dépressives, Montpellier, September 1999.
Paris:
L'Harmattan.
Logiques économiques.
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2002.
Kosten senken durch Lageroptimierung.
FH-Vision.
2002(1), pp. 31.
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2002.
Bulletin der Schweizerischen Gesellschaft für Statistik.
(43), pp. 3-5.
Available from: https://osf.io/j9m4h
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2002.
Supervised clustering of genes[paper].
In:
Compstat : Proceedings in Computational Statistics.
15th Conference in Computational Statistics, Berlin, 24-28 August 2002.
Heidelberg:
Springer.
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Dürr, Oliver; Volz, Thomas; Dieterich, Wolfgang; Nitzan, Abraham,
2001.
Dynamic percolation theory for particle diffusion in a polymer network.
The Journal of Chemical Physics.
117(1), pp. 441-447.
Available from: https://doi.org/10.1063/1.1481763