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.
Anna Kozhina, a Research Assistant at HSE’s international Laboratory of Stochastic Analysis and its Applications, earned her PhD at Heidelberg University in Germany with highest distinction and earned an academic degree of the first category from HSE’s new Dissertation Committee. This year Anna’s dissertation was awarded the Wilma-Moser prize, which recognizes the best work among female graduate students in the natural sciences. In an interview with HSE News Service, Anna discussed what made her fall in love with mathematics and how science keeps her on her toes.
Part of the Centre of Deep Learning and Bayesian Methods and another partner project between Sberbank and HSE University’s Faculty of Computer Science, the laboratory will focus on applying machine learning methods to financial services.
HSE’s Online Specialization ‘Advanced Machine Learning’ Receives Outstanding Educator Award from Coursera
HSE's English-taught online specialization, ‘Advanced Machine Learning’, which was created in partnership with Yandex, became the first course in Russia to receive the Outstanding Educator Award in the category of ‘Innovation’ from the global online platform Coursera.
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.