A range of 6 subjects in Big Data and Data Science will give students the chance to develop skills and expertise, broaden their international experience and capitalise on knowledge opportunities.
The subjects have been selected so that they provide an engaging and high impact educational experience that will enable them to make progress towards their degree or expand their academic and/or professional life and experience.
•Spatio-temporal analytics, urban analytics
•Visual analytics
•Social network analytics, Data science ethics & privacy-preserving analytics
•Streaming analytics
•Text analytics, health analytics
•User analytics for recommender systems
Participants should bring their own laptop, which they should use during the exercises and other hands-on work they will do during the School.
On the nature of computing
Computing is a domain of knowledge. Knowledge is truthful information that embedded into the right network of conceptual interrelations can be used to understand a subject or solve a problem. According to this definition, Physics, Biology but also ...
Spatio-temporal analytics, urban analytics
Part 1
Lecture 1:
Urban Data: Challenges and Opportunities
Data Quality Issues
Exploring Urban Data: Usability and Interactivity
Lecture 2:
Finding Interesting Features
Using Data to Discover and Explain Data
Transparency and Reproducibility
Hands-on 1:
...Visual analytics
Visual analytics aims to combine the strengths of human and computer data processing. Visualization, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Sophisticated synergies are required for analyzing ...
Social network analytics, data science ethics & privacy-preserving analytics
Goals
Over the past decade there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many contexts: in the rapid growth of the Internet and the Web, in the ease with which global ...
Streaming analytics
Effective Big Data analytics need to rely on algorithms for querying and analyzing massive, continuous data streams (that is, data that is seen only once and in a fixed order) with limited memory and CPU-time resources. Such streams arise naturally in ...
Observatories and data analytics for web science
Over the last 25 years the Web has evolved into a critical global infrastructure. Since its emergence in the 1990s, it has exploded into hundreds of billions of pages that touch almost all aspects of modern life. Little appreciated, however, is the fact ...
Text analytics, health analytics
Title: Mining and Summarizing Text Conversations
Summary:
With the ever-increasing popularity of Internet technologies and communication devices such as smartphones and tablets, and with huge amounts of such conversational data generated on hourly basis,...
User analytics for recommender systems
We increasingly get our news, entertainment, and information via computers, tablets, and phones. The proliferation of digital content in a plurality of forms (including e-news, movies, and online courses), along with the popularity of portable devices ...
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