Course Overview

The module will give the students the abilities to perform Public
Health studies which integrate data from social networks and web
forums, linked open data and mobile data. It will be driven by use
cases based teaching and practical hands-on supported by conceptual
and theoretical background. Attendees will practice using
environmental and geo-tagged data, web forums data and large a large
mobile dataset (call details records).

Learning Achievement

Competence

Course prerequisites

- Basic programming and scripting skills.
- Notions in statistics and epidemiology 

Grading Philosophy

- Continuous assessment (work group - oral presentation)

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Project conducted in group of students + presentation

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Rules and protocol for failures/re-sits is clearly described

Course schedule

- It will be driven by case-based teaching and practical hands-on
experiences supported by conceptual and theoretical background.
Attendees will use environmental and geo-tagged data, web forums data
and a large mobile data set (call detail records).

The content includes:

- Limitation and opportunities of web based data for public health
- Introduction and practices on Natural Language Processing and Text
mining of Web Based Data

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Principles of semantic indexing and retrieval

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Linked Open Data Querying and Semantic Web

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Geolocalized and Environmental data processing

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Data vizualisation

Course type

Lectures, seminars, practicals, readings, inversed classes and presentations

Online Course Requirement

Instructor

Other information

Part of the Public Health Data Science Master programDuration: 2 weeks (60 hours)

Language of instruction: English
Mode of delivery: Blended-learning (55h in total)

Site for Inquiry