Accomplish­ments

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: Supervised learning, Unsupervised learning and Best practices in machine learning. The course also draw from numerous case studies and applications, to learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

A practical programming course for office workers, academics, and administrators who want to improve their productivity.

National competitive grant from the spanish government for phD students with special focus on the development of teaching skills.

Divulgation project competition ‘Math Lab’ (2009 and 2010).

Selective project for the detection and stimulus of mathematical talent including weekly lectures on mathematical topics.