Career Guidance in IT
HSE students from the Faculty of Computer Science and the Institute of Education have taken part in the ‘Put Together Your 2035 University’ hackaton. The theme of the hackaton was concerned with developing and designing AI solutions (with the use of machine learning) in education. HSE students took third place and made it through to the finals!
The hackaton took place in the beginning of November in six cities simultaneously (St. Petersburg, Moscow, Vladivostok, Tomsk, Ulyanovsk, and Makhachkala). Its task was to develop services, applications, modules and platforms for a university of the future called ‘National Technology Initiative University 20.35’. The event in Moscow attracted ten teams consisting of people with various backgrounds interested in data science and education. The EduAdvisor team included two students from the HSE Faculty of Computer Science (Semyon Obukhov and Andrey Isaev), two students from the master’s programme ‘Measurement in Psychology and Education’ (Roman Solopov and Leonid Sherstuk),and one self-employed professional, Maxim Popilin.
The team presented a project aiming to solve the problems of IT career guidance for schoolchildren. They created a 3D classification, with one of the dimensions being a Klimov differential diagnostic questionnaire (commonly used for career guidance in Russia), the second dimension determining types of activities as project-based or process-based, and the third one determining product creation or product development/maintenance. As a result, the team got a 20-cell matrix, each of which indicated the most relevant IT occupation. They created a Telegram bot to carry out the interview according to the Kilmov questionnaire. The grades for the other two scales are determined via machine learning technology that analyzes profiles on the VKontakte social network.
Our product works as follows: someone finds our Telegram bot, takes a test there, provides a link to their VKontakte profile, and gets a suggestion of an IT profession which would be the most interesting for them. If our project is successful in the finals, we are planning to turn it into a web app and a mobile app, which will not only suggest professions, but build individual study tracks to help the user become a professional in the selected area
The prize for the team was a free course on Netology. The project that wins in the finals will receive funding for their project.
The unit will focus on applying machine learning methods to financial services. The laboratory is part of the Centre of Deep Learning and Bayesian Methods and another partner project between Sberbank and HSE’s Faculty of Computer Science.
HSE students participated in Creation Lab, an annual international business hackathon, which is organized as part of the World Business Dialogue in Cologne. The forum’s partner educational, power and retail businesses will implement the best of the suggested solutions in their operations.
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.
In late October, students from the HSE School of Business Informatics organised the second Major League Hacking (MLH) hackathon hosted in Moscow. The participants of the event, which include students and alumni of Russian and foreign universities, developed IT solutions for Russian companies.
In July, HSE is launching two English-taught courses on Coursera. Enrollement for the courses is still open. The full list of online courses offered by HSE is available on HSE MOOCs page.
On May 29, Samsung opened its new Artificial Intelligence Centre in Moscow. Dmitry Vetrov, Professor of the HSE Faculty of Computer Science, will become one of its leaders and oversee research in machine learning.
Researchers at HSE’s Laboratory of Methods for Big Data Analysis (LAMBDA) and the Yandex School of Data Analysis have significantly reduced the cost of CERN’s future SHiP detector. The detector will search for particles responsible for still unexplained phenomena in the Universe. With use of modern machine learning methods, LAMBDA and Yandex scientists came up with very effective configuration of magnets which protect the detector from background particles. As a result, the cost of the entire structure was reduced by 25%.
HSE students recently attended Creation Lab, an international business hackathon, where they presented their projects for the international partner companies. The hackathon was organized as part of the World Business Dialogue forum.
Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.
On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.