Santiago Marco
Role
Lecturer
Qualifications
PhD in Microsystem Technology
Bachelor’s Degree in Applied Physics
Biography
Santiago Marco completed his Bachelor’s Degree in Applied Physics in 1988 and received a PhD in Microsystem Technology from the Universitat de Barcelona in 1993. He held a European Human Capital Mobility grant for a postdoctoral position at the Tor Vergata University of Rome. Since 1995, he has been associate professor at the Electronics Section in the Department of Engineering at the Universitat de Barcelona. In 2004 he had a sabbatical leave at AIRBUS-Corporate Research, Munich, working on Ion Mobility Spectrometry. In 2008 he was appointed group leader at the Institute of Bioengineering of Catalonia.
Subjects they teach
Statistical Learning
Bachelor's Degree in Bioinformatics
Required
Programme:
Bachelor's Degree in Bioinformatics
This course introduces techniques to model and analyse complex data, including big data sets, and stresses their application to the analysis of omics data. It comprises three major areas: i) statistical modelling, including linear models and generalised linear models widely used for selecting genes in transcriptomics; ii) supervised learning covering a wide range of techniques for classification and prediction; iii) unsupervised learning regarding techniques for data visualisation in reduced dimension (e.g. PCA) or clustering for finding patterns in data.
Code:
53130
Créditos:
5 ECTS
Language:
English
Type of subject: Required