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.
The registration for the 3rd International Data Analysis Olympiad (IDAO 2020) organised jointly by the HSE Faculty of Computer Science and Yandex, is open until January 21, 2020. The international competition introduces young developers and analysts to current issues in Data Science.
A ‘Mega-Grant’ Competition for ground-breaking research projects funded by the Russian Ministry of Science and Higher Education was held for the seventh time, and this year’s competition winners included two projects that will be based at HSE University campuses. One research group will study dynamic systems at HSE – Nizhny Novgorod, and a new social neurobiology laboratory will begin work at HSE University in Moscow.
This academic year, HSE University will begin admissions to its new online Master's programme in Data Science, which will be offered on Coursera, the world’s leading online learning platform. The application deadline for admission to the programme is December 6. Courses begin in February. Upon the successful completion of the programme, students will receive a Master’s degree from HSE University, which is internationally recognized.
The International Mathematics Competition for University Students was held in Bulgaria from June 28th to August 3rd, 2019. 360 students from 77 teams from all over the world took part in one of the most prestigious student competitions in mathematics. Teams from the Faculty of Computer Science and the Faculty of Mathematics represented HSE University at the event.
The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.
Recently the Laboratory of Topological Methods in Dynamics, which is headed by Professor Olga Pochinka on HSE’s Nizhny Novgorod campus, received international status. Professor Pochinka spoke with the HSE News Service about the applied use of research in fundamental mathematics and her grand plans for the future. This interview is the first of a special series on HSE’s international laboratories.
Researchers have used machine learning to discover that the two most widespread DNA structures — stem-loops and quadruplexes — cause genome mutations that lead to cancer. The results of the study were published in BMC Cancer.
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.