11, Pokrovsky boulevard.
Phone: +7 (495) 531-00-00 *27254
Arzhantsev I., Kuyumzhiyan K., Zaidenberg M.
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Sulimov P., Voronkova A., Danilova Y. et al.
Journal of Proteome Research. 2019. Vol. 18. No. 5. P. 2354-2358.
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Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362.
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In bk.: 2019 Data Compression Conference Proceedings. IEEE, 2019.
Шеин А. В., Zaikin A., Poptsova M.
Scientific Reports. 2019. Vol. 9. No. 7211. P. 1-16.
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.