RareHacks Hackathon - Special course - July 5th to 7th

Date:

July 5th to 7th.

July 5th, from 9:00 AM to 12:00 PM

July 6th and 7th: the exact agenda is still being detailed

Classroom:

003

Instructor

Alexandre Perera Lluna (1973) holds a degree in Physics (1996, UB), Electronic Engineer (2001, UB) and a PhD in Physical Sciences (2003 UB), postdoctoral fellow at Texas A&M University (Tx, USA, 2003-2004) and EADS European Aeronautic Defence and Space Company (CRC Forschung,München, DE, 2005), Ramon y Cajal Fellow (2007) is currently tenured at the Polytechnic University of Catalonia (2013). He is also double affiliated as researcher of the Institut de Recerca de Sant Joan de Déu. Author of more than 60 paper in peer-review journals, six patents and more than 60 contributions to national and international conferences. He is currently the coordinator of the research group B2Slab (http://b2slab.upc.edu) Bioinformatics and Biomedical Signals Laboratory, member of the board of directors of the Biomedical Research Center and deputy head for research of the automatic control department at UPC. His research covers artificial intelligence algorithms, multivariate statistics, machine learning applied to bioinformatics and bioengineering.

Language

English

Description

This course is an actual hackathon to be carried away on the three days of July 5,6 and 7. The goal is to help to develop a chatbot for providing help to families of patients of rarediseases, whithin the Share4Rare project. You can contribute a lot helping these families! Details will be published on the RareHacks.org website.

Course goals

Participate in a hackathon.
Build multidisciplinary teams with physicians and computer scientists.
Develop an open source chatbot using python or R, which provides answers from a text corpus and online resources.
Help to world wide families with children with rare diseases.

Course contents

Friday July 5th, Introduction session and team formation.

Saturday July 6th, Hackathon

Sunday July 7th afternoon. Final presentations and awards

Prerequisites

Maths, machine learning or natural language processing or statistics.

Targeted at

Students in Maths, physics, biomedical engineering or computer science.

Evaluation

Through competition in teams.

Computer class or student's laptop?

Student's laptop

Software requirements

Python, R and lots of coffee.