Data Science Group – Politecnico di Milano

Teaching

We list here all the teaching activities related to our lab.

Web and Data Science course

The Web and Data Science course 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 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

All the materials presented in class is published on beep: web page

Topic Lecturer
Introduction: Big Data and Data Science Della Valle
Semantic Web (part 1/2): intro + RDF + SPARQL Della Valle
Web Api + Scraping Brambilla
Semantic Web (part 2/2): OWL + Ontology Based Data Access Della Valle
NoSQL Data Models – KV, doc, column, .. Brambilla
Big Data techs 1/2: MapReduce + the hadoop ecosystem + Spark Della Valle
Invited seminar: AWS Serverless Brambilla + invited
Big Data techs 2/2: Spark hands-on Della Valle
Basic statistics in practice Brambilla
PCA + clustering Brambilla
Classification + Neural Networks + Deep Learning Brambilla
R examples Marazzi
Data science with Spark 1/2 Della Valle
Data Wrangling Brambilla
Data science with Spark 2/2 Della Valle
Human Computation & Crowdsourcing Brambilla
Web Information Retrieval Brambilla
Mid-term project delivery Brambilla+Della Valle
Final project delivery Brambilla+Della Valle

 

EVALUATION

The exam consist in a practical part (project work) and a theoretical part (written exam with possible oral discussion).

The practical part consist in solving a realistic problem in web science / data science, based on real or realistic dataset publicly available , accessible via Web API, or provided by the teachers. 40% of the grade of this course is granted based on the evaluation of a project work.

The written exam is composed of a mix of theoretical questions regarding any of the course subjects, and excercises, regarding the technical content and how to apply it in practice.

The oral examination consists of a discussion about the written test and the practical part of the exam. It can include also questions on any subject of the course.