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Dean — Ivan Arzhantsev
First Deputy Dean — Tamara Voznesenskaya
Deputy Dean for Research and International Relations — Sergei Obiedkov
Deputy Dean for Methodical and Educational Work — Ilya Samonenko
Deputy Dean for Development, Finance and Administration — Irina Plisetskaya
Phone: +7 (495) 772-95-90 * 12332
, 3 Kochnovsky Proezd (near metro station 'Aeroport').
Applied Mathematics and Information Science
HSE and University of London Double Degree Programme in Data Science and Business Analytics
Software Engineering
Data Analysis in Biology and Medicine
Mathematical Methods of Optimization and Stochastics
Data Science
System and Software Engineering
System Programming
Statistical Learning Theory
Financial Technologies and Data Analysis
Bienvenu M., Kikot S., Kontchakov R. et al.
Journal of the ACM. 2018. Vol. 65. No. 5. P. 28:1-28:51.
In press
Doikov Nikita, Richtarik P.
Proceedings of Machine Learning Research. 2018. No. 80. P. 1290-1298.
In press
Hushchyn M., Chekalina V.
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018. P. 1-2.
In press
Naumov A., Spokoiny V., Ulyanov V. V.
Probability Theory and Related Fields. 2019. P. 1-42.
Shapoval A., Le Mouël J., Shnirman M. et al.
Astronomy and Astrophysics. 2018. Vol. 618. P. A183-1-A183-13.
The faculty trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. The wide range of elective courses will allow each student to create his or her own educational path. In the faculty, learning is based on practice and projects.
Laboratory of Theoretical Computer Science Researchers Get Grant from RFBR and Royal Society
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The grant was for the project ‘Analysis of formal languages via computational complexity’ headed by Vladimir Podolskii, Senior Research Fellow at the Laboratory. The project also involves Michael Vyalyi and Alexander Rubtsov.
The Russian and British experts supported a total of 13 projects, with 81 applications having been submitted. The aim of the competition is to promote international cooperation in fundamentalresearch, as well as financial support for joint projects carried out by researchers from Russia and Great Britain.
Congratulations!