Web Science is the study of the World Wide Web (WWW), its components, facets and characteristics and the impact it has on both society and technology. The World Wide Web changed the way in which we create information, communicate and interact. New models of social networks (LinkedIn, Facebook, etc.) create opportunities, which were not available before. Exploiting such data and networks for the benefit of individuals and organizations has become a key in our knowledge society.

TBC

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Coursework 20%, Class Test 80%

(We note that there is no option for a Class Test in the list above)

The objective of this course is to introduce students to the field of web science and critically examine methodologies and techniques used in the field.

By the end of this course students will be able to:

1. Skills to analyse and implement technical solutions on social web applications

2. Able to apply generative AI solutions to web applications.

3. Describe the techniques needed to analyse social networks

4. Ability to understand and rationalise privacy threats and mitigation strategies in online communities

5. Describe methodologies to conduct large-scale data analysis to analyse user behaviour on the web.

6. Develop prediction models for structured and unstructured textual data.

Students must submit at least 75% by weight of the components (including class tests) of the course's summative assessment.