Each course is worth 2 ECTS credits.
TT1: Course on information retrieval, "Document Clustering" given by Associate
Prof. Vladimir Dobrynin, St.Petersburg State University, Russia
Document clustering is used in two different search scenarios.
one is search result clustering. In this case on-line clustering
with goal to improve presentation of search results returned
by a web
search engine. Second scenario is related to so called cluster-based
We will study both well known and new clustering algorithms including k-means, Information Bottleneck and Contextual Document Clustering. Some of these algorithms are based on Information Theory ideas so an overview of this theory will be presented also. Finally we will discuss application of clustering in real information retrieval systems.
TT2: Course "Introduction to Digital Systems" given by Prof. Evgeny I. Veremey, St.Petersburg State University, Russia
The Lectures course "Introduction to Digital Systems" provides a short summary of the theory of discrete-time signals and dynamic systems. Whenever a computer is used in measurement, signal processing or control applications, the data (as seen from the computer) and systems involved are naturally discrete-time because a computer executes program code at discrete points of time. In this connection the course is intended as introduction material for master program students specialized in the area of computing and control theory. It includes the base positions in mathematical modeling, analysis and synthesis of discrete time systems. Besides that computer modeling and simulation on the base of Matlab also are considered.
TT3 : Course "Introduction to Information Retrieval" given by Associate Prof. Vitaly Klyuev, University of Aizu, Japan.
Information retrieval (IR) deals with the representation, storage, organization of, and access to information items. The aim is to provide the user with easy access to information in which s/he is interested. Expansion of the Internet and the advent of new mass storage devices have had a significant effect on research in this area. Nowadays, data sets are very huge, they are continually changeable, and they are distributed over the net. Modern methods and techniques of IR cope with such complex data structures.
In this course, we are going to investigate the current technologies applied to IR: models to represent data and information, algorithms to search and retrieve information, approaches to crawl information from the Web, etc. The focus of this course is on text retrieval. Students will be provided with state-of-the-art technologies in the area of collecting, indexing, searching and retrieving data and information which work well with very large data sets.
Saint-Petersburg State University, Faculty of Applied Mathematics
Address: Universitetskii prospekt 35, Petergof, Saint-Petersburg, Russia 198504, tel. +7 (812) 428-71-59