Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room 04.E120
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

P: +31 15 27 88032

Visiting hours office
Monday, Tuesday, Thursday: 10:00 – 15:00


The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

Contact us at +31 15 278 8032 or send us an email at

A1 Advanced Pattern Recognition

A1 – Advanced Pattern Recognition

Year  2019-2020
Registration  click here
Course content
This graduate course is intended for Ph.D. students that use (or are planning to use) pattern recognition of their own research. They are facing a (research) problem that may partly be solved by automatic classifiers, but also requires field-specific knowledge to obtain an acceptable solution. Such statistical pattern recognition techniques will be examined with an emphasis on the generalization capabilities of learning systems. The course is given for Ph.D. students of the Advanced School for Computing and Imaging (ASCI). Postdocs and external Ph.D. students may also attend against a moderate fee. It is assumed that the student has some background in linear algebra and statistics, but not specifically in pattern recognition.

For preparation please click here .

Course objectives
After succesfully completing this course, the student is able to construct a learning system to solve a given simple pattern recognition problem, using existing software.
Education method
Daily Schedule [deviations may apply]

09:00 – 10:30 Morning lecture
10:45 – 12:30 Morning Matlab exercises
12:30 – 13:30 Lunch
13:30 – 15:00 Afternoon lecture
15:15 – 17:00 Afternoon Matlab exercises
The course will be concluded by a small project together with a written report to be handed after the course.

Responsible Lecturer

Marco Loog

Education Period:

Expected in April 2020

Time schedule:

09:00h - 17:00h


TU Delft - faculty of EEMCS,
Lecture hall Chip
Mekelweg 4,
2628CD Delft
- Click on location icon for map -