Over 7,000 Students Take Part in Data Analysis National Olympiad
Data analysis enthusiasts from different regions of Russia and 13 foreign countries recently took part in the Data Analysis National Olympiad (DANO). The results of the first round will be announced on October 20th.
‘Compared to 2021, this year, there were almost 2.5 times more participants taking part in the first (qualifying) round. We’re confident that the number of participants will increase every year, because DATA is everywhere around us,’ says Mikhail Cherepovsky, co-head of the Data Analysis National Olympiad.
The second (qualifying) round will be held online on November 6th, 2022. Students in grades 9 to 11 and students in vocational education can take part in it. They will have to solve data analysis tasks.
The final round of DANO will be held in two stages:
a task tour to test advanced data analysis skills;
a full—time project tour in the format of a school in the Moscow region, where participants will develop a team research project based on real databases with the help of expert mentors from Tinkoff and IT and economics students from HSE and co-organizing universities.
Before each round of the Olympiad, participants will be able to get access to an online course from Tinkoff experts in the field of data analysis, allowing them to learn more about the theory of data analysis, as well as a video podcast from HSE experts, a library of materials with a selection of literature on the topic and tasks from last year’s Olympiad, along with demos of this season's tasks and other useful materials.
Participants with the best results will get the opportunity to study at on a funded place at HSE, and the winners will receive additional points for admission to data analysis programmes at HSE and co-organizing universities including Innopolis University, ITMO, Ural federal University, and Adygea State University, as well as preferential treatment in the selection process for the ‘Tinkoff Start’ internship later in their education. There’s also the chance to win an annual subscription to Tinkoff Pro and other gifts.
Analysis of the tasks as well as task examples can be found on the event’s Telegram channel.
For more information about the terms of the competition, please see the official website of the project.
Mikhail Cherepovskiy
See also:
Prepare for the INTO HSE Olympiad with HSE Students
Winners of the INTO HSE International Maths Olympiad receive scholarships and admission offers to 37 different programmes at HSE University. Angelina Yudina, a master's student and invited instructor of maths at the Faculty of Economic Sciences, offers a video lesson where she analyses the demo version of the maths problems from the Olympiad.
Entries for ‘Nature and Climate’ Photography Contest Accepted till Late August
The HSE Faculty of Geography and Geoinformation Technology has become one of the organisers of the ‘Nature and Climate’ photography contest. The goal of the contest is to celebrate the beauty of nature and its connection with climate, as well as to showcase modern approaches to studying natural ecosystems and their role in climate regulation. The contest is open to all, and the best photographs will be displayed at an exhibition in September, timed to coincide with the fifth anniversary of the faculty.
Lyceum Classes with Support from HSE: School Students from Uzbekistan Visit HSE University
HSE University has welcomed students of the International House Tashkent Academic Lyceum at TIIAME National Research University, Uzbekistan. The students are participants in the educational project 'Lyceum Classes with Support from HSE,' initiated by the International Admissions Office and implemented since 2022 in collaboration with faculties of HSE University and foreign educational institutions.
Programming & Real Life: Results of the PROD Olympiad
The HSE Cultural Centre recently hosted an awards ceremony for the winners of the PROD Olympiad. This is the first-ever industrial IT-development competition for 9th–11th graders in Russia, organised by HSE University, Tinkoff Bank, and the Central University (Moscow). About 4,000 people from 89 regions of Russia, as well as from Kazakhstan, Belarus, Armenia, China, and Turkmenistan, participated in the qualifying stage, with 43 people emerging as eventual winners.
‘Bots Are Simply Imitators, not Artists’: How to Distinguish Artificial Intellect from a Real Author
Today, text bots like ChatGPT are doing many tasks that were originally human work. In our place, they can rewrite ‘War and Peace’ in a Shakespearean style, write a thesis on Ancient Mesopotamia, or create a Valentine’s Day card. But is there any way to identify an AI-generated text and distinguish it from works done by a human being? Can we catch out a robot? The Deputy Head of the HSE School of Data Analysis and Artificial Intelligence, Professor of the HSE Faculty of Computer Science Vasilii Gromov explained the answer in his lecture ‘Catch out a Bot, or the Large-Scale Structure of Natural Intelligence’ for Znanie intellectual society.
HSE and Indian Institute of Technology Delhi Agree on Joint Research Projects
HSE University-St Petersburg and the Indian Institute of Technology Delhi (IIT Delhi), a leading Indian university, have agreed to launch joint research projects in the field of social, political studies, humanities, and data analysis for master's students. On the Russian side, this work will be coordinated by the HSE St Petersburg School of Social Sciences.
Master's Programme in 'Data Science' Accredited by AI Alliance Russia
Based on the assessment results, the programme's strengths were identified as its broad coverage of educational disciplines, in-depth exploration of theoretical aspects in machine learning, the quality of staff, and the involvement of potential employers. This is the fifth educational programme at the HSE Faculty of Computer Science to receive this prestigious professional and public accreditation.
‘It Doesn’t Test, It Teaches’: Hackathon for DANO Data Analysis Olympiad Held in Nizhny Novgorod
A hackathon was held in Nizhny Novgorod for students in grades 9–11 as part of the Data Analysis National Olympiad (DANO). More than 90 school students in grades 9–11 from Moscow, Nizhny Novgorod and the surrounding region, St Petersburg, Samara, Cheboksary, and Ufa—a total of 15 Russian regions—took part in the hackathon.
Faculty of Computer Science Members Win Prizes in ICPC Challenge Championship
The International Collegiate Programming Contest (ICPC) Challenge took place at the end of August. Unlike the traditional ICPC format, in which teams of three students solve a set of algorithmic tasks, participants of the ICPC Challenge must individually solve an optimisation problem that is relevant to science-driven industry, but which does not have an exact algorithmic solution. In the end, prize places were taken by Mikhail Gustokashin, Director of the Centre of Student Competitions at the HSE University Faculty of Computer Science (FCS), and Dmitry Rempel, student of the faculty.
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.