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Tag "professors"

Illustration for news: Collaborations in the scientific community: researcher’s view and practice

Collaborations in the scientific community: researcher’s view and practice

The head of the International Laboratory for Applied Network Research, Daria Maltseva, took part in several events at HSE departments, where she spoke about scientific collaborations from the point of view of a researcher in this field and a practitioner with experience in implementing joint research projects.

Illustration for news: Ivan Klimov answered the frequently asked questions about MASNA

Ivan Klimov answered the frequently asked questions about MASNA

Ivan Klimov told: how the educational process is built on the programme, what is the assessment system, how to communicate with teachers and what are the recommendations before starting the education.

Illustration for news: MASNA teacher Nada Lavrač received the Zois Award for outstanding scientific achievements

MASNA teacher Nada Lavrač received the Zois Award for outstanding scientific achievements

Every year, the Government of the Republic of Slovenia awards scientists for outstanding scientific achievements. This year, Nada Lavrač, MASNA teacher for the course ‘Statistical Learning Theory’, received the Zois award for original methods of data representation for effective machine learning.

Illustration for news: ANR-Lab and MASNA launch data science courses from foreign professors for external students

ANR-Lab and MASNA launch data science courses from foreign professors for external students

For the first time in the three years of the Master's programme “Applied Statistics with Network Analysis Methods”, the International Laboratory for Applied Network Research opens courses taught by leading foreign experts and professors of the program to external students. Upon successful completion of the course, students are given an official HSE certificate for 4 ECTS credits. As with the entire program, the focus of the courses is on the applied aspects of data analysis. All courses start from scratch, allowing to learn specific methods even to those who are not familiar with the data analysis.