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
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 IDP
Publikationen
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Breymann, Wolfgang; Dingerkus, Stefan; Heitz, Christoph,
2013.
Life cycle management of technical systems and integral financial modeling.
In:
World Trends in Maintenance Engineering, Pretoria, South Africa 13-15 August 2013.
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Wüst, Raimond Matthias,
2013.
Mehr Kapazität dank innovativem Bahnbetrieb.
By rail.Now!.
2013(1), pp. 54-55.
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McElroy, Tucker; Wildi, Marc,
2013.
Multi-step-ahead estimation of time series models.
International Journal of Forecasting.
29(3), pp. 378-394.
Available from: https://doi.org/10.1016/j.ijforecast.2012.08.003
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Locher, René,
2013.
IDP Environmetrics
; 3.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
ISBN 978-3-905745-70-2.
Available from: https://doi.org/10.21256/zhaw-126
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Müller, Marianne,
2013.
Nursing competence : psychometric evaluation using Rasch modelling.
Journal of Advanced Nursing.
69(6), pp. 1410-1417.
Available from: https://doi.org/10.1111/jan.12009