The Web Science course 2016-17 focuses on the study of large-scale socio-technical systems associated with the World Wide Web. It considers the relationship between people and technology, the ways that society and technology complement one another and the way they impact on broader society. These analyses are inherently associated with Big Data management issues.
The course is given in Como Campus of Politecnico di Milano by Marco Brambilla and Emanuele Della Valle.
Up-to-date calendar of the course on Google Docs: calendar
Official course page on Polimi site: web page
This is a (possibly partial) list of course materials related to the course:
LESSON 1. Introduction, Context, Scenarios (1) and Scenarios (2)
LESSON 2. Web API, Rest API and Scraping for Web data collection. Including Source code of examples (ZIP).
LESSON 3. Semantic Web and RDF and exercise
LESSON 4. RDF-S and OWL
LESSON 5. RDF-S and OWL practical cases. Solutions
LESSON 6. SPARQL, examples, and putting it all together
LESSON 7. Data Wrangling and Data Cleansing
LESSON 8. Web Search foundations
LESSON 9. Clustering
LESSON 10. Classification
LESSON 11. Recommendations
LESSON 12. Introduction to Big Data and basics of hadoop, hdfs, pig, and hive
LESSON 13. Hadoop, BDAS, Spark. Resources
LESSON 14. Spark in practice
LESSON 15. Human Computation and Crowdsourcing
Additional resources: