Seminar, 3.00 ECTS
Lecture topics are methods to gather and analyse web data. The seminar is divided in three major parts:
1) Statistical analysis of data from available data sources like server logs or user tracking records
2) Analysis and Reporting on dynamic Online data sources
3) Usage of integlligent algorithms for data mining and gathering like Recommender systems
On completion of the course, students have fundamental knowledge about tow to gather and analyze Web data as well as the knowledge and skills to do scientific work.
Recommended or required reading and other learning resources / tools
Avinash Kaushik, Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity, Wiley 2009
The Essential Guide to Doing Research. London: Sage. Oshima, A. & Hogue, A. (2005).
English for Academic Study: Writing. Reading: Garnet Education. Powell, M. (1996).
Professional Journals: ACM, IEEE
Mode of delivery
3 ECTS Seminar
Prerequisites and co-requisites
Web Engineering 3
Assessment methods and criteria