BISS 2003: Bertinoro International Spring School for Graduate Studies in Computer Science 3-14 March 2003 University of Bologna Residential Center Bertinoro (Forlì), Italy

[ Courses and Lecturers
| Lecture Schedule
| Important Dates
| Location
| How to Reach Bertinoro
| Scholarship Application
| List of Participants
| Exam Scores
| Organization and Sponsorship
| Local Weather Forecast]

The 2003 edition of the School is the 9th in the series. The school will offer 4 courses each consisting of 15 hours of lecturing:

• Reliability theory and methods, A. Bobbio (Univ. Piemonte Orientale)
• Multi-resolution Geometric Modeling, L. De Floriani, E. Puppo (Univ. di Genova)
• Statistical learning theory, A. Verri (Univ. di Genova)
• Advanced Algorithm Design and Engineering, C. Zaroliagis (Univ. of Patras)

The registration fee for the School is 850,00 Euro and includes all local expenses from the evening of 2 March to mid-day on 14 March including on-site lodging in double occupancy rooms and meals. Attendance is limited to 50 students and will be allocated on a first-come-first-served basis. All applicants must complete a Registration Form by 31 January 2003.

There is limited funding from COOPERLINK to cover the registration fee for PhD students coming from the following countries: Albania, Bosnia and Herzegowina, Croatia, Greece, Federal Republic of Yugoslava, Slovenia. Interested students must complete a Scholarship Application by 10 January 2003.

Courses and Lecturers

Summary:
"Reliability" means, in general, the attitude of a system to work properly in time. To set a quantitative theory, the reliability is formally defined and measured as the probability that the system will performe the prescribed task for an assigned mission time. The study of the reliability theory is preliminary to the development of fault-tolerant systems or safety-critical systems. The reliability of a single component is first introduced, and then the reliability of complex systems made up of several components. Various methods will be presented for non-repairable and repairable systems and the appropriate metrics will be introduced. The notion of redundancy is particularly discussed.

Summary:
In this course, we will introduce modeling techniques for surfaces, solid objects, scalar and vector fields, focusing on mesh-based multi-resolution representations. We will first discuss both cellular and simplicial meshes, which are the basic tool in multi-resolution modeling, and we will study compact representations for such meshes. We will then present techniques for mesh simplification as the basis for generating multi-resolution representations. We will introduce a framework for multi-resolution modeling and analyze multi-resolution data structures and variable-resolution spatial queries within such a framework. Applications to computer graphics, scientific data visualization, geographic data processing, and solid modeling will be discussed.

Prerequisites:
Data structures and analysis of algorithms.

Summary:
The course theme is the problem of learning from examples within the framework of Statistical Learning Theory. It starts with the theory developed by Vapnik in the last decades and develops connections with the theory of regularization of ill-posed problems. The main open issues and some of the current applications are also illustrated.

Prerequisites:
Working knowledge of linear algebra, calculus, and elementary concepts from probability theory. More advanced mathematical concepts will be dealt with in class.

Summary:
In this course, advanced algorithmic techniques will be presented to tackle efficiently several fundamental problems in algorithms and data structures, both in a static as well as in a dynamic setting. Our case-studies will mainly be shortest path and flow problems. Apart from algorithm design techniques, we shall also discuss approaches for the efficient implementation, experimental testing, and fine-tuning of algorithms to the point where they can be usefully applied in practice. Finally, we shall demonstrate how efficient algorithmic solutions and implementations can speedup real-world applications.

Lecture Schedule

Important Dates

Location

Bertinoro itself is picturesque, with many narrow streets and walkways winding around the central peak.  The School will be held in an archiepiscopal fortress that has been converted by the University of Bologna into a modern conference center with computing facilities and Internet access.  From the fortress you can enjoy a beautiful vista that stretches from the Tuscan Apennines to the Adriatic coast and the Alps over the Po Valley.

How to Reach Bertinoro

List of Participants

Exam Scores

Organization and Sponsorship

Last updated: 14 Nov 2002