In the era of “Big Data”, Biological/Biomedical Sciences’ data, be it from laboratory, clinical or population studies, is also getting increasingly voluminous and complex. Traditional mathematical and statistical methods, although fundamental, are not always suited for visualizing and extracting information from complex multi-dimensional data and turn-key solutions/software are typically limited in scope and applicability. Not surprisingly, the ability to implement hands-on/custom computational solutions to transform, find patterns in and interpret complex data is becoming a highly valued skill in both academia and industry. However, it is very hard for the biological/biomedical experimental scientist, at all levels of academic education, to find available courses/tutorials that can cover such complex topics without prior advanced background. This course aims precisely at filling that gap: to provide a solid basic background and intense hands-on experience in concepts and methodologies of Computational Data Analysis applied to biological/biomedical experimental data, without requiring any prior advanced knowledge.
This 7-day hands-on advanced course is intended for
undergraduate, Master and PhD students, and researchers of
biological/biomedical fields who may have basic knowledge of statistics and
data analysis but want to learn the basics of fundamental advanced
computational techniques to analyze large complex data sets. The hands-on
tutorials will focus on exploratory data analysis of real experimental data
generated at the Life
and Health Science Research Institute (ICVS), but the methodologies
being taught can be applied to any type of experimental data. The goal of
this course is to provide biological/biomedical scientists with knowledge
and confidence to implement custom tools to analyze and interpret complex
multi-dimensional data generated in their own experiments.
Upon successful completion of this course, participants will be able to:
Luís JacintoLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
Patrícia MonteiroLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
This 7-day advanced course, to be held from
October 22nd to 30th 2020, will provide basic background and intensive hands-on experience in the application of computational data analysis methods to complex/multi-dimensional data. Real experimental data from ICVS will be used for all hands-on tutorials.
All methods will be implemented in MATLAB, but previous knowledge is not required. Basic training in
MATLAB and algorithmic thinking will be provided during the first two days of the course (October 22nd and 23rd).
The second part of the course (October 26th to 30th) will focus on advanced topics for exploratory data analysis applied to real neuroscience data such as:
If you already have some background in MATLAB, you may choose to attend the course from October 26th to 30th only, in which the advanced topics will be explored. On the afternoon of
October 26th, a MATLAB refresher will be provided so that everyone is up to speed on the essential coding requirements.
Please consult the detailed schedule here.