Yanka Kupala
State University of Grodno
Super User
Yanka Kupala State University of Grodno will accept documents from applicants from July, 20 to August, 9 The terms of the entrance campaign are determined in Belarus
The Ministry of Education of the Republic of Belarus has set the deadline for the entrance campaign to higher education institutions in 2021. From July, 20 to 26, documents for higher education will be accepted at the expense of budget funds and on a paid basis. Applicants entering full-time (full-time) education in higher education institutions of agricultural profile at the expense of budget funds and on a paid basis, must submit documents in the period from July, 20 to 28. For graduates of specialized classes of pedagogical and agricultural orientation, entering pedagogical and agricultural specialties, the deadline for submitting documents is from July, 20 to 22. Acceptance of documents from applicants entering the correspondence form of education in institutions of higher education of agricultural profile at the expense of budget funds and on a paid basis will be carried out from November, 15 to December, 5.
For applicants who enter for a fee and do not pass the entrance tests, the following deadlines for submitting documents are established: from July, 20 to August, 5-at the Academy of the Ministry of Internal Affairs, the Mogilev Institute of the Ministry of Internal Affairs, the University of Civil Protection of the Ministry of Emergency Situations; from July, 20 to August, 10 – in full – time (full-time) education in agricultural specialties (from November, 15 to December, 5 in correspondence education in this direction); from July, 20 to August 9-at other institutions of higher education.
Terms of entrance tests at the University of Civil Protection of the Ministry of Emergency Situations, the Military Academy of the Republic of Belarus, at military faculties in institutions of higher education - from July, 27 to 29; in other institutions of higher education – from July, 27 to August, 4; in full – time (full – time) form of education in agricultural specialties-from July, 29 to August, 4; in correspondence form of education in institutions of higher education of agricultural profile-from December, 6 to 15.
The terms of enrollment of applicants for state-funded places are also defined: at the Military Academy of the Republic of Belarus, the Institute of the Border Service of the Republic of Belarus, the University of Civil Protection of the Ministry of Emergency Situations, at military faculties in higher education institutions-until July, 31; at the Belarusian State Academy of Arts, the Belarusian State Academy of Music, the Belarusian State University of Culture and Arts-until August, 6; in other state institutions of higher education (except for correspondence education in institutions of higher education of agricultural profile) - until August, 5; in correspondence education in institutions of higher education of agricultural profile – until December, 20.
For places for obtaining higher education on a paid basis in higher education institutions (except for correspondence education in agricultural higher education institutions), the terms for enrollment are set until August, 11, and for correspondence education in agricultural higher education institutions-until December, 20.
The decree of the Ministry of Education of the Republic of Belarus, published on the National Legal Portal, also specifies the terms of additional recruitment to state institutions of higher education and the procedure for conducting an entrance campaign for foreigners and stateless persons.
Representatives of Krasnoyarsk State Pedagogical University named after V. P. Astafyev visited Yanka Kupala State University of Grodno as a part of the "Visiting Professor" program
The visit to Yanka Kupala State University of Grodno took place from April 12 to 17.
As a part of the visit to Yanka Kupala State University of Grodno, Professor of Krasnoyarsk State Pedagogical University named after V. P. Astafiev Lyudmila Klimatskaya read lectures for students of the Faculty of Physical Education on the disciplines "Fundamentals of Sports Nutrition" and "Theory and Methodology of Health-improving Physical culture". Associate Professor Yulia Bocharova read lectures for students of the Faculty of Physical Education on the discipline "Pedagogy", and for students of the Faculty of Pedagogy – on the basics of didactic heuristics, on special methods of school education and the basics of practical work of a speech therapist.
Colleagues from Grodno and Krasnoyarsk also discussed the results of the first year of implementation of the joint Belarusian-Russian scientific project "Phenotypes of psychovegetative response to the factors of gerontological ageism and its counteraction in social service organizations in Krasnoyarsk and Grodno". Professor Lyudmila Klimatskaya and Associate Professor Yulia Bocharova shared their experience of scientific and practical activities carried out between the universities under the cooperation agreement. During the visit, by the way, a scientific publication was published in the journal Family Medicine & Primary Care Review (Web of Science), reflecting the first results of the joint scientific project.
А consultative seminar on the joint content generation for the visualization of the ENI-LLB-2-359 project
On 19 November, 2020, the consultative seminar on the joint content generation for the visualization of the project “Preservation of the ethnocultural heritage and the development of tourism in the historical region of traditional beekeeping” ENI-LLB-2-359 was held on the basis of the Faculty of Biology and Ecology at Yanka Kupala State University of Grodno.
A training seminar for students on the project "Preservation of the ethnocultural heritage and the development of tourism in the historical region of traditional beekeeping" ENI-LLB-2-359
On 13 April, 2021, the training seminar for students on the project " Preservation of the ethnocultural heritage and the development of tourism in the historical region of traditional beekeeping" ENI -LLB-2-359 was held on the basis of the Faculty of Biology and Ecology at the Yanka Kupala State University of Grodno. The seminar was attended by employees and students of the Faculty of Biology and Ecology, the Faculty of History, Communication and Tourism, the Faculty of Law and project partners – employees of the State environmental institution "Republican landscape reserve "Ozery".
The results of the IV Regional Olympiad in Russian as a Foreign Language were summed up at Yanka Kupala State University
Participants of the Olympiad were 15 students and students of preparatory courses of universities and colleges of the Grodno region.
Foreign citizens from Brazil, Congo, Ethiopia, Lebanon, Mali, Togo, Cameroon, and Sri Lanka, who are only studying Russian in their first year of study, took part in the intellectual competition.
The Olympiad consisted of three stages. The participants demonstrated to the jury their understanding of authentic oral speech, performed a lexical and grammatical test, and made an oral statement on one of the proposed topics.
The representative of Kupala University, Santos Marques da Silva Guilherme, won the IV Regional Olympiad in Russian as a Foreign Language and will take part in the Republican Olympiad in Russian, which will be held in May in an online form. The second place is also taken by the representative of our University, Zongwe Matilda Kianda. The third place was shared by representatives of Yanka Kupala State University of Grodno Kanonge Priska Kabambi and Grodno State Medical University Mohamed Aslam Fatima Hasnaa.
IV Regional Olympiad in Russian as a Foreign Language is held at Yanka Kupala State University
15 students and students of preparatory courses of universities and colleges of the Grodno region take part in the Olympiad.
These are citizens of eight countries - Brazil, Congo, Ethiopia, Lebanon, Mali, Togo, Cameroon, Sri Lanka - who are only studying Russian in their first year of school. Participation in the Olympiad is a great opportunity to check what real success they managed to achieve during the first year of study.
– The Olympiad in Russian as a foreign language is held by the Department of Language Training of Belarusian and Foreign Citizens of Kupala University for the fourth time. This is a regional Olympiad, which is attended by students and students of all educational institutions of the Grodno region. And the jury that will determine the winners and prize – winners of the Olympiad will include representatives of all three Grodno universities, – said Inna Samoilova, Head of the Department of Language Training of Belarusian and Foreign Citizens of the Faculty of Pre-University Training of Yanka Kupala State University.
She also noted that such intellectual competitions help motivate foreign students to further study the Russian language and culture. This is important because knowing the language afterwards helps them to adapt more quickly to the student environment.
– Foreign students and students really strive to learn the Russian language, even if they study at the university in English, - said Inna Samoilova. – After all, they live in our country, are mainly in the Russian-speaking environment. It is important for them to interact with other students, build relationships, and understand each other.
Participants of the Olympiad will have to pass three stages of tests. They will have to demonstrate an understanding of authentic oral speech, perform a lexico-grammatical test and make an oral statement on one of the proposed topics before the jury. For example, they will be asked to talk about choosing their own path and the importance of knowledge, about love and the value of health, about mistakes, life's victories and defeats. It is important to note that the participants of the Olympiad will learn their topic for oral statements immediately before the speech.
According to the results of the Olympiad, the winners and prize-winners will be determined. They will be awarded certificates and gifts-souvenirs and books that will help them learn more about Belarus, its traditions, and also contribute to further improving their knowledge of the Russian language.
Alexey Dudorov, a student of Yanka Kupala State University, won gold at the European Trampoline Championship The European Trampoline Championships were held from April 29 to May 2 in Sochi
The large-scale competitions in Sochi brought together 300 athletes from 23 countries. Over the course of four days, athletes competed for medals in individual and team disciplines: individual jumps, acrobatic track and synchronized trampoline jumping.
The Belarusian national trampoline team successfully competed at the European Championships in Sochi. The team consisted of a 4th-year student of Kupala University Alexey Dudorov. Together with his teammates Ivan Litvinovich, Oleg Ryabtsev, Vladislav Goncharov, Alexey rose to the highest step of the podium, winning the "gold" of the championship in the team competition.
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Faculty |
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Specialty |
1-31 80 09 Applied Mathematics and Informatics | |
| Profilisation | Computer Data Analysis | |
| Language of study | English / Russian | |
| Mode of study | Full-time | |
| Term of study | 1 year 8 months | |
| Entrance exams for foreign citizens | ||
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Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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Study of the theoretical foundations of mathematical modeling and optimization, principles and practical methods for constructing and analyzing models of complex processes, phenomena and systems. Solving optimization problems in various fields of science, technology and economics. Formation of practical skills in applying mathematical modeling and optimization methods to solve problems of modeling and optimizing complex systems using modern software |
3 |
Study of mathematical models and methods of statistical analysis of multidimensional structure data. Formation of practical skills for solving applied problems of multidimensional data analysis using modern software in the field of statistical analysis |
3 | |
Obtaining theoretical knowledge and practical skills on methodological foundations and methods of making forecasts based on mathematical models. Building predictive models. Mastering the methods of constructing econometric models based on spatial data and time series, building econometric models based on economic and statistical data. Mastering computer software packages for economic and statistical data analysis and forecasting |
6 | |
Creating a database for using modern libraries in various programming languages. The ability to adapt existing algorithms and data structures for specific application tasks. Development of the ability to evaluate the complexity of operations with data structures, perform worst-case estimation and amortized estimation of operations, use probabilistic estimation of the complexity of operations. Learning about special data structures. Study of methods of organizing efficient search, optimization of this method, using various data structures. |
6 | |
Study of modern computer systems for statistical data processing. |
3 | |
Mastering the syntax of the Python programming language and acquiring practical programming skills in Python |
3 | |
Acquisition of practical skills in using mathematics to solve data analysis problems using the Python programming language |
3 | |
Study of various models of neural networks, methods and algorithms of their training for solving practical problems with the use of ready-made libraries of the Python programming language |
3 | |
Study of methods for solving applied problems of data analysis using Pandas module of the Python programming language |
3 | |
Construction of econometric models based on panel data, methods of conducting econometric analysis, consisting in the diagnosis of models. Methods for developing forecasts based on econometric models. |
3 | |
Mastering and obtaining practical skills in algoritmization and programming methods of computational mathematics and numerical optimization methods. Using modern computer modeling software in solving problems from various fields of human activity |
3 | |
Development, solution and analysis of logistics problems based on economic and mathematical methods and models and computer technologies: construction of economic and mathematical models during logistics research. Identification of the most significant quantitative relationships of the modeled logistics objects. Mastering the techniques of mathematical formulation of individual connections and phenomena of logistics systems. Acquisition of theoretical knowledge of basic economic and mathematical models and methods of transport logistics and inventory management |
3 | |
Construction and application of optimization models and methods of applied statistics for the analysis of statistical data in various spheres of socio-economic development of the region on the basis of modern computer technologies. Using modern information technologies to solve the problems of state regulation, forecasting and planning of state revenues and expenditures. Evaluation of results, including financial and economic analysis of economic processes and production activities. Using scientific achievements and development of proposals for improving professional activities in the field of finance, money circulation and credit. Development of practical recommendations for the use of scientific research in the field of finance, money circulation and credit, planning and conducting experimental research |
3 | |
Introduction to the basic concepts and types of patterns identified by data mining, study of IAD methods, training in the use of software tools based on data mining technology for solving practical problems |
6 | |
Study of the main approaches and methods of graphical representation and data analysis. Formation of practical skills and skills of working with tools for data visualization, including business intelligence systems. |
6 | |
Mastering the statements and features of discrete programming problems. Study modern methods for solving discrete programming problems. Developing skills in using software products for implementing discrete programming algorithm. |
3 | |
Mastering methods, techniques, procedures, models and software tools for analyzing decisions in conditions of multivariance, multicriteria, uncertainty and risk, acquiring modeling skills for decision-making tasks in conditions of incomplete information |
6 | |
Systematic study of the R programming language. Study of methods for solving the main applied problems of statistical data analysis by R language (data types in R, methods for creating loops, checking conditions, rules for writing functions, handling exceptional situations, writing and reading data from files and databases, working with graphs, exporting reports to pdf-file, etc., finding descriptive statistics). |
3 | |
Study of time series analysis methods based on higher-order statistics with implementation in the Mathematica package |
3 | |
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The main competencies that the graduate will acquire |
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Options to continue education (postgraduate specialties) |
• 08.00.13 – Mathematical and Instrumental Methods of Economics | |
| Graduate certificate | MASTER’S DEGREE DIPLOMA | |
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Faculty |
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Specialty |
1-53 80 01 Industrial Automation | |
| Profilization | Analysis and management in digital economy systems | |
| Language of study | English | |
| Mode of study | Full-time | |
| Term of study | 1 year | |
| Entrance exams for foreign citizens | ||
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Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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3 |
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3 | |
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3 | |
Digital transformation is the introduction of modern digital technologies into the business processes of an enterprise. It involves not only the use of modern hardware or software, but also fundamental changes in management approaches, corporate culture, and external communications. The discipline examines the methods of digital transformation caused by the introduction of Industry 4.0 technologies, in particular technologies based on the Internet of Things platform. The acquired practical skills will allow you to apply technologies, models, tools and digital business transformation; provide basic knowledge on the use of services to ensure cybersecurity in the context of digital business transformation |
3 | |
Project management is a recognized methodology for effective management, which is especially relevant in the context of the Industry 4.0 economy. While studying the discipline, students will get acquainted with the principles, tools and technologies that allow them to competently initiate, plan, execute, monitor and control the implementation of the plan, budget, requirements for the content and quality of the project, successfully complete the project, and effectively manage the project team. The acquired practical skills will allow you to design IT products; choose, justify and try on a project management methodology; use modern project management software systems. |
3 | |
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3 | |
The purpose of the discipline is to gain knowledge on the issues of ensuring the protection of information in cyber-physical systems built on the Internet of Things platform. We consider systems that are currently being rapidly implemented in critical areas – medicine, transport, manufacturing, but, at the same time, carry a number of threats and vulnerabilities associated with the use of modern IT. The knowledge and skills gained in the course of studying the discipline will be useful in the development and use of smart systems and the analysis of the problems of their complex information protection. |
3 | |
Within the framework of the discipline, methods of building and applying complex data processing systems are considered. Modern methods of data processing (receiving, storing, processing) and analysis using Python libraries for data representation and analysis, machine learning, and visualization are studied and systematized. The acquired knowledge and practical skills will allow you to use batch and distributed data technologies; mathematical methods and tools for statistical processing and data mining. |
3 | |
The discipline is aimed at developing students ' professional competencies in the development and use of big data processing and analysis systems (Big Data). Methods of using Big Data distributed processing systems based on Map Reduce, Hadoop, Apache Spark technologies, methods of analyzing graph structures of social networks are considered. The acquired practical skills will allow you to develop decision-making automation systems; design and use distributed data processing systems and best practices in the development of competitive software products |
3 | |
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The main competencies that the graduate will acquire |
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| Graduate certificate | MASTER’S DEGREE DIPLOMA | |
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Faculty |
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Specialty |
1-40 80 01 Computer engineering | |
| Profilization | Programmable complexes, systems and services | |
| Language of study | English | |
| Mode of study | Full-time | |
| Term of study | 1 year 8 months | |
| Entrance exams for foreign citizens | ||
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Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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6 |
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4 | |
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6 | |
The discipline examines the architectures and concepts of functioning of specialized computer systems and networks, as well as the stages of design and operation of problem-oriented systems:
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3 | |
The discipline aims to master the basic concepts and gain practical skills in the design and development of decision support systems (DSS) and covers the following sections:
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3 | |
• the concept of a web service, the architecture of XML Web services; • development of the SOAP Web service; • Web services technology extensions: WS-Security, WS-Federation, WS-Management, and others; • Java Web services. As a result of studying the discipline, students will be able to design, implement, deploy and maintain web services. |
6 | |
The discipline introduces students to computer-aided design (CAD) systems used to create design and technological documentation, 3D models and drawings. The course deals with:
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3 | |
The discipline examines the theoretical foundations of big data, the basic elements of big data mining, and the basics of information retrieval and organization. The course content includes:
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3 | |
The discipline introduces students to the basic concepts of data mining (IAD) and the types of patterns identified using IAD. Students will learn IAD methods and software tools for data analysis to solve practical problems. The course content includes:
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3 | |
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The main competencies that the graduate will acquire |
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| Graduate certificate | MASTER’S DEGREE DIPLOMA | |
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Higher education in the Republic of Belarus
