BIOINFORMATICS
Spring semester 2010 (3 EC master course)
Fridays 13:30-15:15 in Hg01.057

DESCRIPTION

In bioinformatics the data are typically multidimensional and contain noise as well as technical and biological variability. Furthermore the underlining biological mechanisms to be analyzed are in general unknown and have a complex nature. Therefore models must be learned from the data. This makes bioinformatics an interesting and challenging application area for machine learning. In this course, the student will study issues and selected topics in bioinformatics and will learn to develop and apply machine learning approaches and algorithms for tackling these problems.

Instructor

Elena Marchiori and Tjeerd Dijkstra

Assistants

Fabio Gori, Pavel Jancura, Evgeni Tsivtsivadze

Material

Slides, research papers and surveys will be available during the course.

Grading

Based on one practical project and exercises.

Schedule

To be announced. Detailed information about the practical projects will be available during the course.