CBU Winter School 2011
CBU Winter School 2008

CBU Winter School in Information Technology
"Introduction to digital systems of control and signal processing"
Saint Petersburg, 27 January - 5 February 2011

Students are coming mainly from the universities participating in the CBU IT pilot:

  • Lappeenranta University of Technology
  • Petrozavodsk State University
  • St. Petersburg State Polytechnical University
  • St. Petersburg State University
  • University of Eastern Finland
  • University of Helsinki

Also students from other universities may be accepted.

The courses are suitable for Master's degree students on the 4th or 5th year of studies and for postgraduate students.

Latest News

Jan 20 Timetable has been updated
Nov 08 Registration for the winter school is open: use the registration form. The deadline for registration is 01.12.2010.
Nov 08 Names of all courses are now available


Course 1. "Digital systems of control and signal processing" given by Prof. Evgeny I. Veremey, Senior Lecturer M.V. Sotnikova, St. Petersburg State University, Russia
From ideas to implementation: Introductory course in innovation computing.
This course presents the main ideas and definitions of basic mathematical background for digital signal processing, some key computational methods of digital systems investigation and design and the most popular programming tools for theirs implementation in advanced computing.
The main content of the course includes the following topics:
  • Mathematical Modelling.
  • Methods for Discrete Systems Analysis.
  • Main Approaches to Discrete Systems Synthesis.
  • Introduction to Digital Filtering.
  • Computer Modelling and Simulation.
Course 2. "Computer graphics and image processing" given by Associate Prof. Ivan V. Makeev, St. Petersburg State University, Russia
An introductory course to the fundamentals of digital image processing. General principles and mathematical basics for computer graphics, image processing and computer vision algorithms will be considered. Topics expected to be covered include: color representations, sampling and quantization, point operations, linear image filtering and correlation, transforms and simple feature extraction and recognition tasks. Practical examples will be presented using the MATLAB environment.
Course 3. "Image Compression" given by Assistant Prof. Alexander Kolesnikov, University of Eastern Finland, Joensuu, Finland.
An introductory course to the fundamentals of digital image compression. Topics expected to be covered include: Huffman, Golomb and arithmetic coding; statistical, predictive and context modeling methods; quantization; DCT and wavelet transforms. The existing image compression standards are also considered, but the emphasizes is on the compression methods in these standards rather than on the specifications details.


 Thu 27.01Fri 28.01Sat 29.01Sun 30.01Mon 31.01Tue 01.02Wed 02.02Thu 03.02Fri 04.02
9.30 - 11.05C 1C 1C 1 C 1C 3C 3C 2C 2
11.15 - 12.50C 1C 1C 1 C 1C 3C 3C 2C 2
13.50 - 15.25C 1C 3C 3 C 3C 2C 2C 2
15.35 - 17.10C 1C 3C 3 C 3C 2C 2C 2 


To register, please use the following registration form: Registration

Saint-Petersburg State University, Faculty of Applied Mathematics
Address: Universitetskii prospekt 35, Petergof, Saint-Petersburg, Russia 198504, tel. +7 (812) 428-71-59