Eindhoven University of Technology




Studying at TU/e means studying at a Dutch top university. A university with a unique Bachelor College and its own Graduate School .

High ranking

That’s evident from the high position of our university in national and international rankings:

- In the Times Higher Educational World University Rankings of 2013-2014 Eindhoven University of Technology was ranked 106, best of all Dutch universities.

- Our position at QS World University Rankings in 2013 is 157.

- Our university is considered the best Dutch engineering and science university by the Study Guide to Universities 2013.

- Eindhoven University of Technology (TU/e) has been named as best university in the Netherlands by the weekly magazine Elsevier.

More info: http://www.tue.nl/en/

Customize your search:

E.g., 2017-06-22
E.g., 2017-06-22
E.g., 2017-06-22
Jun 26th 2017

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power.

Average: 9.3 (4 votes)
Jun 12th 2017

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Average: 7.5 (6 votes)
Apr 24th 2017

Use the free, open source process mining framework (ProM) to analyse, visualise, manage and improve a range of business processes. Process mining is a new and exciting field which combines business process management with data science.Using process mining techniques you can analyse and visualise business processes based on event data recorded in event logs.

Average: 7 (1 vote)
Nov 9th 2015

Have we reached the boundaries of what can be achieved in sports and building design? The answer is definitely “NO”. This course explains basic aspects of bluff body aerodynamics, wind tunnel testing and Computational Fluid Dynamics (CFD) simulations with application to sports and building aerodynamics. It is intended for anyone with a strong interest in these topics. Key fields addressed are urban physics, wind engineering and sports engineering.

Average: 2.5 (4 votes)