Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Mini-course on Geophisics

The second week of April at the Department of Fundamental Mathematics for students EP "Mathematics" was associated with effective work, and not only because of the usual schedule.

April 16, 2019

Conference "Dynamics in Syberia"

Staff of the Fundamental Mathematics Department and Laboratory of Topology Methods in Dynamics took part in the conference «Dynamics in Siberia»

Research&Expertise conferences & seminars mathematics Laboratory of Topological Methods in Dynamics

March 04, 2019

Golden HSE 2018 Winners Announced

The winners are 16 staff members in seven ‘golden’ categories and 21 students in the ‘Silver Nestling’ category. The winners of the ‘Golden Citation’, which is awarded to the most cited HSE scholar, have also been announced. The awards ceremony was held on November 27, on the HSE's birthday.

On Campus competition Golden HSE

November 27, 2018

International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.

Education data analysis machine learning olympiads

November 16, 2018

First International Data Analysis Olympiad to Be Held in Russia

The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.

Education data analysis machine learning

December 12, 2017

HSE Student Analyses Social Network to Find Runaway Brother

It is a fairly common story for families – a runaway teenager leaves a note saying ‘I’m not coming back, and don’t try looking for me’ and turns off their cell phone. In a recent case, however, a sister was able to find her brother by using the knowledge she acquired as a student in HSE’s Applied Mathematics and Information Science programme. Her story shows what social networks can say about its users to someone who knows how to listen.

Education applied mathematics social networks

December 15, 2016