Faculty of Computer Science Shares Experience
During the COVID-19 pandemic, the Faculty of Computer Science does not relent and starts new projects as well as maintains the old ones. This spring, the Faculty and HSE International Centre for Research and Teaching started the advanced training courses “Methods and practice of Python programming teaching” and “Basics of machine learning for university professors”.
The programmes aimed at the Russian regional university professors gathered more than thirty participants from all over the country including Far Eastern Federal University, Orenburg, Surgut, Tumen, Adyghe State Universities, Omsk State Technical University, Kovrov Technological Academy.
Due to COVID-19 restrictions, the classes were held online via Yandex.Contest and online.hse.ru platforms. The trainees take part in webinars with the Faculty’s professors and study the materials on their own. Both the problems of the course’s subject area and the methodical questions of teaching are discussed in every webinar. The participants study the experience of the Faculty of Computer Science and discuss their own work, exchanging opinions and receiving feedback from the professor and other participants.
On June 18, the trainees studied the latest developments of machine learning with Evgeny Sokolov, academic supervisor of Applied Mathematics and Computer Science programme. Moreover, Evgeny and trainees have discussed ways to present the machine learning materials to students and studies the ICRT Subject Constructor materials.
As interesting as this was the June 19 webinar of Mikhail Gustokashin, head of the Centre for Student Competitions. The webinar was on the ways and means of teaching Python programming. Mikhail is the professor of the Faculty, trainer of competitive programming teams, author of many popular online courses including the Coursera’s Basics of Python Programming.
The graduates will get not only knowledge, useful experience, and advanced training certificates but also access to ICRT digital resources. The participants of “Methods and practice of Python programming teaching” will be able to use Yandex.Contest tasks by the Faculty’s experts. The Participants of “Basics of machine learning for university professors” will have access to the ICRT Subject Constructor to help them modernise the contents of their educational programmes.
In June, ICRT starts another advanced training course, “Data analysis with Python and its teaching” and holds internships for university professors.