Checking date: 01/05/2024

Course: 2024/2025

Web data analytics and usage
Master in Big Data Analytics (Plan: 352 - Estudio: 322)

Coordinating teacher: SANCHEZ FERNANDEZ, LUIS

Department assigned to the subject: Telematic Engineering Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


Basic Competences That the students can apply the acquired knowledge and ability to solve problems in new or unfamiliar environments within broader contexts related to their field of study That students are able to integrate knowledge and handle complexity of formulating judgments That the students can communicate their conclusions and the knowledge and rationale underpinning to specialists and non-specialists in a clear and unambiguous way. That students have the learning skills that enable them to continue studying in a way that will be largely self-directed or autonomous. Specific Competences Identify opportunities that data processing techniques may offer to improve the activity in companies and organizations Apply advanced methods of data processing in problems of special relevance for societies
Skills and learning outcomes
Description of contents: programme
- Introduction to hypertext and Web protocols - HTTP - HTTPS - HTML - Dynamically generated Web pages - Web site usage analytics - Introduction - Web technologies for Web site monitoring - Basic Web analytics terms - Architecture of a Web usage mining application - Association rules - Link mining - Motivation - HITS - PageRank - Social network analysis - Structure of a social network - Centrality and influence - Comunidades en redes sociales
Learning activities and methodology
Learning activities Lectures Lab sessions Methodology Presentations made by the Professor with the aid of audiovisual and computer media, in which the main concepts of the subject are explained. Reading of bibliography by the student Development of assignments in the labs.
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70

Calendar of Continuous assessment

Basic Bibliography
  • Easley, D., & Kleinberg, J.. Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge University Press. 2010
  • Liu, B.. Web data mining: exploring hyperlinks, contents, and usage data. Springer Science & Business Media. 2011
  • Peterson, E. T. . Web analytics demystified: a marketer's guide to understanding how your web site affects your business. Ingram. 2004
  • Shelley Powers. Practical RDF. O'Reilly Media, Inc.. 2003

The course syllabus may change due academic events or other reasons.