This course teaches Data mining techniques, Data warehousing design and basic machine learning techniques. Topics covered include data preparation, data warehouses logical and physical design, data marts, classification, clustering, decision trees, association rules, Online Analytical Processing (OLAP) and dimensionality modeling.
This course aims to explore, discuss, and research emerging technologies in the web arena. Emphasis is placed on exposure to up-and-coming technologies relating to the web, providing hands-on experience, and discussion of practical implications of these emerging fields. It allows students to gain an in-depth understanding of new web technologies, services and business models in fixed and mobile networks.