Data Mining

Ulyanovsk State Technical University is one of the leading regional scientific centres and prepares specialists in various technical specialties. UlSTU graduates are valuable specialists for the city and the country, though a lot of students and graduates sucessfully work and study abroad. The main university campus is located on a picturesque Volga bank. Visiting students can find everything for a living on campus (food stores, public transport, gym, etc.).

Educational program of the “Data Mining” course is a two-week intensive program with the UlSTU IT-professors and IT-specialists. The program leader is Prof. Kirill Sviatov, a young enthusiastic dean of the Faculty of Information Systems and Technologies, having additional trainings for students in robotics for many years in a row. With his students Prof. Sviatov participates in all-Russian Robofest, he is also a one of the local UlRobofest organizers. Students work in small teams (3-4 persons) and using the data collected develop algorithms for robot positioning and movement using ROS. Technologies, tools and languages used for programming the algorithms: SLAM, OpenCV, Neural Networks, Classification & Clustering tools, Python, ROS, keras. During the course students are introduced to the following technologies:
- Robot positioning algorithms and odometry;
- Navigation and mapping;
- Image processing;
- Data Mining;
- Mobile robot development;
- Others. After a short theoretical introduction students practice their knowledge in developing an algorithm. Each develops their own algorithm for the same mobile robot.

Entertaining part of the program combines sports activities, workshops, cultural museums, out-of-town guided tour, bicycle ride, picnic, open air movie theater and the annual air show of Russian Air Fleet Day.

Russian language and culture courses are provided within the course. Classes for beginners and advanced courses (provided upon request). Upon completion students receive a certificate of a taken course, indicating the number of academic hours and credit points recommended, as well as study materials of a taken course.

Participants of the Summer school are accommodated in a student dormitory on campus within walking distance from educational buildings. Apartments (for three or four) are fully furnished with shared facilities: equipped kitchen and a bathroom. Football stadium and gym are also available for students on campus.

During the School participants will be accompanied by student tutors and volunteers.


August 12-29, 2018


Programming background (C++, C, Python, others), basic knowledge of mathematics and electrical engineering.

Language of instruction




Participation fee

850 Euro, including tuition, accommodation, lunch/day, cultural programme (including welcome and farewell parties), migration support, transfer within the city

Deadline for applications

June 30, 2018

Documents required

- Application form (download from the homepage);
- Copy of international passport;
- Brief motivation letter;
- CV.


Discounts for students from partner universities!
DAAD scholarships for students from German universities. For details please visit

Apply now!