Software Design

Web Analytics

Seminar, 3.00 ECTS


Course content

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

Learning outcomes

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

Continuous Assessment