Tag "achievements" – News

For the third year running, HSE University has come first in the ranking of the 100 best universities in Russia, published for the fifth time by Forbes magazine.

HSE University is represented in more subjects (10—an increase from 8 last year) in the Shanghai Global Ranking of Academic Subjects than any other Russian university.

The HSE University Institute of Education (IOE) will launch new courses as part of its master’s programmes in the 2022/23 academic year. They are designed to provide competencies to those either currently working or planning to work in education. The plans have already gained financial support: the Vladimir Potanin Foundation ran a grant competition in which two HSE University Institute of Education entries won grants and another made the reserve list.

HSE University took first place in four subject rankings and second place by the number of gold medals among Russian universities. The university entered the top three Russian universities by receiving nine prizes in various fields. The Three University Missions subject rankings in 29 fields of study were presented for the first time at an open meeting of the Council of the Russian Union of Rectors and the Association of Rating Makers.

HSE University online courses are available on Coursera since December 23. ‘First Steps in Linear Algebra for Machine Learning’ has become the hundredth course to be offered by HSE University.

October 13-19, 2019 in Longyearbyen, Spitsbergen, the SVF-8063 School of Society and Advanced Technology in the Arctic, organized by the Arctic University of Norway (UiT), was held. Senior colleagues and research assistants of the Higher School of Economics participated in it as students and teachers. There were also specialists and students from other countries. A number of disciplines were in the training course, including mathematics and data analysis. This is the second school of the “Arctic project” of the HSE DeCAn lab -the first one was held in 2018 in Tromsø, Norway.

The new patented method is based on a superposition of functions and considerably enhances the speed and precision of Big Data processing. The project’s authors are Fuad Aleskerov, Tenured Professor at HSE and Head of the International Laboratory of Decision Choice and Analysis, Laboratory Researchers Sergey Shvydun, Evgeny Mitichkin and Vyacheslav Yakuba, as well as Vyacheslav Chistyakov, Professor at the HSE Campus in Nizhny Novgorod.

Tenured HSE Professor Fuad Aleskerov, who is the head of the Faculty of Economic Sciences’ Department of Mathematics, has become a member of the Informatics section of the Academia Europaea.