Join HSE's English-taught Courses on Coursera
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.
Addressing Large Hadron Collider Challenges by Machine Learning
The course is part of the Advanced Machine Learning specialization. It is intended for those who have already studied the methods of machine learning and would like to apply them to practical research problems, in particular, in high energy physics. Many of the experiments are carried out on a Large Hadron Collider and require processing of huge amounts of information. The course will help participants to understand how to do it. Background in physics is not required.
The course starts July 9 and applications are open till July 14 (the course is relaunched every two weeks). The course is taught in English.
Mathematics for Economists
The course is intended for bachelor’s and first-year master’s students who would like to gain skills in applying mathematical knowledge and expertise to solving economic problems. Participants will also learn how to present proofs. The authors of the course believe that mathematical concepts are not only beautiful theories in books; they can help to better understand the real life situations.
The course starts July 16. The course is taught in English.
On February 24, 2014, HSE launched its first course on the Coursera online education platform. Along with St. Petersburg State University and the Moscow Institute of Physics and Technology, HSE was one of the first Russian universities to host a course on the platform. Now HSE ranks among the top ten universities with the highest number of courses available on the platform, offering 91 courses which have garnered 1.6 million subscriptions.
Faculty of Computer Science of HSE and Skoltech are pleased to announce the launch of the second joint Olympiad in Statistical Learning Theory (SLT). The competition will be open to students specializing in the fields related to Applied Mathematics and Informatics. Following a pre-selection phase (application details below), the Olympiad final will be held at Skoltech on April 6-7, 2019.
Global online platform Coursera has launched the Data Science Academy project - a guide to the world of data science with a selection of the best online courses, specializations, and online master's programmes from world leading companies and universities. The English online course ‘Advanced Machine Learning’, developed by HSE in cooperation with Yandex is among the Academy's courses.
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.
Mathematicians at the Higher School of Economics have developed a model that explains how cell specialization arises in the context of resource constraints. The results are published in PLOS One journal.
An international group of researchers (the first author is Nikita Kalinin, HSE Saint-Petersburg, the last author is Ernesto Lupercio, CINVESTAV, Mexico) has presented the first continuous model describing self-organised criticality. The proposed solution is simpler and more universal than the classical sandpile model: it integrates areas as remote from one another as economics, developmental biology and gravity in the context of tropical geometry. The paper was published in PNAS.
Graduates of the Faculty of Mathematics at HSE, Andrey Ionov and Lera Starichkova, who have since enrolled in educational programmes at leading international universities, spoke about their love for mathematics, the level of the Bachelor programme at HSE, and admission to foreign PhD programmes.
The HSE Summer University is off to a strong start this year, and one of its programmes – the Research Experience for Undergraduates (REU) in Mathematics – has already been met with considerable enthusiasm by participating students. Designed for undergraduate students majoring in Mathematics or related areas, participants work on research projects under the supervision of distinguished mathematicians.
Moscow Lectures, a new series of books in English, is set to be published by Springer Nature. The series is issued jointly by HSE and Skoltech, and its Editor-in-Chief is Alexey Gorodentsev, Professor at the HSE Faculty of Mathematics. Twelve volumes are currently in preparation and the first volume will be published at the beginning of June 2018. The series builds on the outstanding research and education in the field of mathematics in Moscow. It is aimed at graduate and undergraduate students, as well as lecturers and researchers, across the globe.
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.