Data Mining and Knowledge Management

Course Structure

1. Common courses. These are composed of 10 courses: 6 in Semester 1, 2 in Semester 2 and 2 in Semester 3. They are devoted to providing the students with the theoretical and methodological background for the specialties. All common courses will be guaranteed to be multi-localized by the partner universities, through video-conferencing. One teacher or a team can give each course. The courses will be then available to all students independently from the country they live in. In this way, all students will share a common background (same pedagogical content, same teachers and same language with a virtual unity of place). To every course teachers available locally at each university will supply 12 additional hours of tutoring.
2. Specialty courses. Semesters 2 and 3 are dedicated to the acquisition by each student of two specialties provided by the partners under the mobility conditions stated below. Each partner gives a specific training related to its own specialties but following the global objective of the programme. In order to avoid course duplication, these semesters offer a total of five specialties including four courses each. The specialty courses are organized locally and not broadcasted using the video-conference technology:
3. E-Science, by the University of Paris 6 (UPMC, France);
4. Digital Humanities, by the University of Lyon 2 (ULY2 France);
5. Knowledge and Decision, by Polytech\x92Nantes (EPUN, France);
6. Statistical Modelling and data mining, by the Polytechnic University of Catalonia (UPC, Spain)
7. Relational data mining, by the University of Eastern Piedmont (UPO, Italy)