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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.

 

Applied Mathematics and Informatics

 

Faculty 

FEU

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 

Curriculum

(with an indication of the main disciplines studied)

 
Names of master’s degree students’ activities, cycles of  disciplines, disciplines Number of credits

 

 

  • • Mathematical modelling and optimization of complex systems

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
 
  • • Multivariate statistical analysis

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
 
  • • Mathematical and computer prediction

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
 
  • • Special data structures

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.

 
  • • Technologies and computer data processing systems

Study of modern computer systems for statistical data processing.
The most commonly used statistical methods of data processing and the principles of forming conclusions based on their application, the features of implementing algorithms for statistical methods of data processing in various modules of computer data processing systems.
Using computer systems in solving applied problems related to data processing

3
 
  • • Fundamentals of programming on Python

Mastering the syntax of the Python programming language and acquiring practical programming skills in Python

3
 
  • • Mathematics and Python for data analysis

Acquisition of practical skills in using mathematics to solve data analysis problems using the Python programming language

3
 
  • • Introduction to computer-assisted teaching on Python

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

 
  • • Applied problems of data analysis on Python

Study of methods for solving applied problems of data analysis using  Pandas module of the Python programming language

3
 
  • • Multivariate statistical analysis on panel data

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
 
  • • Numerical methods of computer modeling and analysis

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
 
  • • Data analysis in logistics

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
 
  • • Features of computer data analysis by the types of economic activity

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
 
  • • Mining technology

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

 
  • • Methods and means of data visualization

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
 
  • • Discrete optimization

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
 
  • • Mathematical methods of management in incomplete information conditions

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

 
  • • Fundamentals of computer data analysis using R language

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
 
  • • Analysis and forecasting in economics and finance using time series in Mathematica

Study of time series analysis methods based on higher-order statistics with implementation in the Mathematica package

The main competencies that

the graduate will acquire

  • • apply effective mathematical methods and computer technologies, as well as specialized software to solve scientific and practical problems;
    • develop and apply effective methods, algorithms and software tools for computer data analysis;
    • create and explore models of complex systems and processes of nature;
    • develop intelligent decision support systems;
    • solve problems of computer modeling and optimization of systems and processes of nature, management of data mining processes, simulation modeling, statistical modeling and forecasting.

Options to continue education

(postgraduate specialties)

• 08.00.13 – Mathematical and Instrumental Methods of Economics
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Industrial Automation

 

Faculty 

FMI

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 

Curriculum

(with an indication of the main disciplines studied)

 
Names of master’s degree students’ activities, cycles of  disciplines, disciplines Number of credits

 

 

  • • Control Methods in Complex Systems
Within the framework of the discipline, methods for solving the main problems of control theory are studied. The issues related to the main methods of mathematical description and research of continuous and discrete automatic control systems are considered. The study of the discipline will allow you to develop the skills of studying specific systems, determining their main quality indicators, solving optimization problems, including using computer mathematics packages
3
 
  • • Methods of Computer-assisted Teaching
Machine learning methods are the basic technology of artificial intelligence. Within the framework of this discipline, theoretical and practical aspects of machine learning technologies, modern methods of restoring dependencies based on empirical data are studied. The issues of building and training models and evaluating their quality are considered. Skills for practical solutions to big data mining problems are also being developed in many financial, medical, commercial, and scientific applications.
3
 
  • • Neural Network Technology
Within the framework of the discipline, methods of mathematical modeling of artificial intelligence systems based on neural networks are studied. Students will get acquainted with the methods of design, training, analysis and practical application of neural networks in solving complex formalized engineering problems. The acquired practical skills will allow you to use modern software tools for building and training neural networks.
3
 
  • • Technologies of Digital Business Transformation

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 in Automatization Sector

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
 
  • • Knowledge Management Technologies and Intelligent Information Systems
Within the framework of this discipline, you will gain a systematic knowledge of the main models, methods, tools and languages used in the development of artificial intelligence systems. Get acquainted with the main methods of finding solutions used in artificial intelligence systems. You will develop analytical and practical skills that will allow you to navigate in the choice and use of methods, tools and languages in solving modern problems
3
 
  • • Contemporary Threats and Data Security Technologies

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
 
  • • Fundamentals of Data Science

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
 
  • • Methods and Algorithms of Unstructured Data Distributed Processingta

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

The main competencies that

the graduate will acquire

  • • Will be able to make decisions based on the results of the application of scientific methods, assess the completeness of information in the course of professional activity, if necessary, fill in and synthesize missing information, work in conditions of uncertainty.
    • Will be able to carry out a critical analysis of problem situations based on a systematic approach, develop an action strategy.
    • Will be able to identify and implement the priorities of their own activities and ways to improve them based on self-esteem.
    • Will be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision making, etc.) in independent research activities, generate and implement innovative ideas).
    • Will be able to apply methods of analysis and synthesis of optimal and adaptive control systems.
    • Will be able to apply modern technologies and tools in information systems.
    • Will be able to apply systems analysis methodology when designing complex systems.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Computer engineering

 

Faculty 

FMI

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 

Curriculum

(with an indication of the main disciplines studied)

 
Names of master’s degree students’ activities, cycles of  disciplines, disciplines Number of credits

 

 

  • • Parallel and Reconfigurable Computing Systems
The discipline provides theoretical and practical training in the field of parallel programming and parallel computing. Mathematical models, methods and technologies of parallel programming for multiprocessor systems, systems with shared and distributed memory are considered. Practical classes are aimed at strengthening the skills of designing parallel algorithms and developing parallel programs using the Message Passing Interface (MPI) and the Open Multi-Processing (OpenMP) standard for parallelization based on multithreading. Students will be able to apply the acquired knowledge to the organization of distributed and high-performance computing, modeling and analysis of the results of fundamental physical experiments, designing parallel algorithms and developing parallel programs with different properties, as well as to optimize application programs.
 
  • • System Engineering
The discipline considers modern methods, standards and tools for planning and effectively implementing the full life cycle of complex systems of various types and purposes, as well as the basics of modeling using the MATLAB application software package. Students will study software system life cycle models, software engineering methods and tools, get acquainted with the international standard for software engineering SWEBOK (Software Engineering Body of Knowledge): software requirements, software design, software engineering, software testing, software maintenance, configuration management, development models and methods, software quality. As a result of studying the discipline, students will be able to develop models of subject areas, manage the system design process, apply system engineering standards, and perform mathematical modeling using the MATLAB engineering package.
4
 
  • • Systems of Enterprises' Informatization
Informatization systems ensure the collection, storage, processing, search, analysis and effective use of information necessary for decision-making in any field. This course is aimed at the development and design of information systems for enterprises of various scales and levels of development. As a result of studying the discipline, students will be able to design an information system of an enterprise (department of an enterprise, firm) using structural and object-oriented approaches, possess skills in the development, operation and maintenance of information systems, skills in using the SADT (Structured Analysis and Design Technique) methodology and the UML (Unified Modeling Language) modeling language.
6
 
  • • Network Problem-oriented Systems

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:

  • types of architecture of computer systems, principles of their construction and functioning;
  • the main and most promising areas of development of computer system architecture;
  • computer networks: network node, resource, client, server, traffic, bandwidth;
  • classification of computer networks, features of local and global networks;
  • modern methods of designing elements and devices of computer technology, design automation tools, design documentation design;
As a result of studying the discipline, students will be able to formalize and model the processes occurring in intelligent computing systems, choose the means for building networks in accordance with the specified operating conditions, synthesize schemes of computer systems and networks, perform diagnostics of computer systems, plan and conduct experimental research, develop scientific and technical documentation.
3
 
  • • Information Systems of Decision-making Support

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:

  • tasks and methods of decision-making, examples of decision-making tasks;
  • generating solutions using expert systems, generating solutions based on heuristic
  • assumptions;
  • formation and analysis of cognitive maps;
  • information technologies for decision support, goals and purpose of DSS;
  • Classification and main components of the DSS;
  • types of patterns identified by Data Mining methods;
  • DSS and Knowledge Discovery in Databases (KDD), KDD based on analysis of class pattern properties.
As a result of studying the discipline, students will know the main approaches to the design and construction of information DSS, possess the skills of analysis and formalization of the subject area, have practical skills in the design and development of DSS.
3
 
  • • Development and Internet-services Profiling
The discipline is dedicated to web service development technologies and introduces students to the most common description languages and protocols for their implementation: Web Services Description Language( WSDL), Simple Object Access Protocol (SOAP), Universal Description, Discovery, and Integration (UDDI). The course content includes
• 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
 
  • • Automatization of Technological Design

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:

  • CAD structure and classification;
  • mathematical support for automation of technological design;
  • geometric modeling;
  • algorithmization of design design tasks;
  • AutoCAD and T-FLEX CAD computer-aided design systems.
As a result of studying the discipline, students will be able to use SPAR for creating drawings and three-dimensional models, for automatic and semi-automatic creation and editing of control programs, for engineering calculations and document management, as well as for working with digitized tech
3
 
  • • Big Data Basis

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:

  • definitions, terms, and tasks of big data analysis (Big Data);
  • the concept of Data Mining, sources of information for Big Data, methods of data collection;
  • Map Reduce and Hadoop;
  • big data processing tools;
  • big data analytics;
  • cognitive data analysis;
  • Data Mining methods;
  • big data storage and processing technologies;
  • software tools for Big Data analysis.
As a result of studying the discipline, students will know the principles of big data analysis and be able to apply methods for analyzing and
3
 
  • • Methods of Data Mining Analysis

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:

  • data mining: methods and tasks, formulation and classification of IAD tasks, data;
  • preliminary data analysis: cleaning, normalization, standardization, analysis of emissions and anomalous values;
  • variance, exploration, and cluster data analysis;
  • data mining process: data collection and preparation, construction, validation, evaluation, model selection and correction, data analysis, interpretation and forecasting;
  • The R–language for statistical data processing and the RStudio development environment.
As a result of studying the discipline, students will be able to perform calculations using the IAD apparatus; apply IAD methods in the R computing software environment, possess skills in developing algorithms and software systems for data analysis, as well as skills in working with automation tools for data mining and processing.
3

The main competencies that

the graduate will acquire

  • • Will be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision-making, etc.) in independent research activities, generate and implement innovative ideas.
    • Will be able to identify complex causal relationships for the design of computing systems.
    • Will be able to analyze and solve scientific and technical problems that arise in the process of planning and conducting a scientific experiment.
    • Will possess modern tools for creating a virtual environment in the design of computer systems.
    • Will have the skills to perform parallel computing on multiprocessor systems.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Physical Education and Sport

 

Faculty 

FFK

Specialty 

1-08 80 04 «Physical Education and Sport»
Profilisation Pedagogical activity in health-improving and adaptive physical culture
Language of study  English
Mode of study  Full-time
Term of study  1 year
Entrance exams for foreign citizens 

Curriculum

(with an indication of the main disciplines studied)

 
Names of master’s degree students’ activities, cycles of  disciplines, disciplines Number of credits

 

 

  • • Scientific and pedagogical practice
 
  • • Coursework preparation and defense
3
 
  • • Research seminar activities
6
 
  • 1. State component
 
 
  • 1.1 Psychological and pedagogical module
3
 
  • 1.1.1 Pedagogy and psychology of higher education
3
 
  • 1.1.2 Socio-communicative technologies in professional activities
3
 
  • 1.2 Information technologies and mathematical statistics in physical education and sport

Goal: To form students ' knowledge in the field of sports measurements and processing of their results.

Objectives:

- to introduce the metrological foundations of the modern theory of integrated control in physical education and sports;

- to teach students the basic methods of statistical processing of measurement results;

- to bring the content of the course closer to the future professional activity.

To study the discipline "Information technologies and mathematical statistics in physical education and sport", you need knowledge in the following disciplines: "Anatomy", "Physiology", "Biochemistry", "Biomechanics", "Sports metrology", "Psychology", "Theory and methodology of physical education".
 
 
  • 1.3 Module 'Research work'
6
 
  • 1.3.1 Research seminar
3
 
  • 1.3.2 Coursework
24
 
  • 2. Higher educational institution component
24
 
  • 2.1 Profilization disciplines
 
 
  • 2.1.1 Module 'General theory and practical aspects of physical culture and sports'
 
 
  • 2.1.1.1 Modern problems of physical culture and sports

Goal: to form the professional competencies necessary for a physical culture specialist.

Objectives:

- to form deep knowledge in the field of physical culture and physical education for solving pedagogical, educational, health-improving and scientific-methodological problems, taking into account the age and individual-typological differences of students, specific socio-pedagogical situations, environmental factors;

- to form the skills of educational work in the field of physical education, organization of forms of the health and physical improvement of students, integrated use of methods of medical and pedagogical control of physical development and physical preparation of persons of different ages, analysis of the effectiveness of the process of physical education;

- to develop the ability to analyze, generalize and disseminate advanced pedagogical experience, systematically improve their professional qualifications, apply rational methods of searching, selecting and using information, navigate in special literature, conduct research and methodological work.

In the process of developing the professional culture of future teachers, the discipline "Theory and methods of physical culture" provides them with special pedagogical training for independent competent pedagogical activity. It is designed to form professional and pedagogical competence, to ensure the professional development of the future specialist.
3
 
  • 2.1.1.2 Contemporary control technologies in the practice of physical culture and sports
Goal: to master the theory and practice of monitoring the effectiveness of physical education, sports training, health and adaptive physical culture.
Objectives:
- to deepen the knowledge and skills acquired at the first stage of higher education, providing theoretical and methodological training of graduates to solve various problems of physical culture and sports;
- improve the skills of research activities in terms of assessing changes in the state of students under the influence of physical activity;
- to develop a professional mindset for the control and analysis of physical data for the correction of physical activity planning of the people engaged in physical exercises;
- to develop the skills to make reasoned judgments on the analysis and development of management decisions in the processing of the obtained results in order to organize the control and management of the educational and training process.
The discipline provides theoretical and practical training of master’s students for professional activities in the field of physical education and health-improving physical culture. It has a close logical relationship with the academic subjects " Theory and methods of physical culture ", "Sports metrology". The study of the discipline allows master’s students to get acquainted with the structure, content and organizational and methodological features of the implementation of control in the practice of scientific and methodological activities carried out in physical culture and sports.
3
 
  • 2.2 Elective disciplines
 
 
  • 2.1.2.1. Anti-doping policy in modern sports
    2.1.2.2. Psychology of a healthy lifestyle

Goal: to provide knowledge to specialists working in the field of "Pedagogical activity in health-improving and adaptive physical culture", as well as specialists working with athletes of different training levels, about the fight against doping, as well as to form knowledge for putting it into practice, for better training of athletes.

Objectives:

- to systematize ideas and knowledge about modern anti-doping policy;

- to provide the most complete information about all aspects of doping control;

- to form an idea of the importance of knowledge of anti-doping rules and responsibility for their violation;

- to provide knowledge about the features of biochemical reactions in the body caused by the use of doping;

- to deepen and expand the theoretical, biological and methodological training of athletes;

- to determine the range of anti-doping issues that are most relevant in modern conditions, and to outline possible ways to solve them.
3
 
  • 2.3. Medical and biological module
 
 
  • 2.1.3.1. Medical and biological aspects of physical education and sport

Goal: to promote the effective use of means and methods of physical education and sports to promote health, improve physical development, improve performance and achieve high sports results.

Objectives:

- to master the theory and methods of medical and pedagogical control, the use of means of recovery and improvement of working capacity;

- to master the skills of preventing traumas and injuries during physical training, providing first aid when they occur;

- to develop practical skills of using means of recovery and stimulation of working capacity in the organization and holding of training classes for sports games.

The material of the discipline is based on the knowledge previously obtained by students in such courses as" Theory and methods of physical education", "Basics of sports training"," Hygiene"," Sport medicine", "Exercise physiology", "Therapeutic exercises and massage".
3
 
  • 2.4. Elective disciplines
 
 
  • 2.1.4.1. Physiological fundamentals of muscular work
    2.1.4.2. Anthropology

Goal: to acquire knowledge about changes in the physiological functions of the body in the course of physical activities and sports, about the influence of physical activity on the functional capabilities and health status of children, teenagers, adults and the elderly.

Objectives:

- formation of students ' scientific understanding about the physiological mechanisms and patterns of changes in body functions under the influence of physical activities and sports;

- study of physiological states that arise in the course of performing physical exercises of various types, intensity and duration;

- study of the physiological mechanisms of the development of physical qualities and the formation of physical skills;

- study of the data of modern scientific research on the patterns of formation of long-term adaptation to muscle activity, taking into account the age and gender characteristics of a person, on the influence of various environmental factors on physical performance;

- mastering the methods of assessing physical performance in the process of doing physical exercises and sports; studying the physiological indicators of the body that characterize the training status at rest, when performing limited and maximum physical activity;

- cultivating the skills and abilities to exercise control and self-control of the functional state of those engaged in physical education and sports.

A special feature of the discipline is the emphasis on the competency-based education approach, the strengthening of the role and portion of independent work of the student, the use of modern innovative pedagogical technologies.  To study the discipline " Physiological fundamentals of muscular work", you need knowledge of physiology, anatomy and biochemistry.

3
 
  • 2.5. Module 'Theoretical and methodological aspects of health-improving and adaptive physical education'
 
 
  • 2.1.5.1. Kinesiology as the basis of health-improving and adaptive physical education

Goal: to form a body of knowledge, skills and special competencies necessary for independent activity in the field of sports and physical education activities.

Objectives:

- study of the theory of health-improving physical education;

- introduction to the main methods of health-improving physical education;

- mastering the technology of sports and physical education activities.

The academic discipline is a specialized subject of study that provides theoretical and practical training of students for professional activities in the field of physical education, tourism and recreational activities.

2
 
  • 2.1.5.2. Integrated medical and pedagogical control in health-improving and adaptive physical education

Goal: to master the basics of medical and pedagogical control, prevention of injuries and methods of their rehabilitation

Objectives:

- mastering the theory and methodology of medical and pedagogical control, the use of means of recovery and improvement of working capacity;

- mastering the skills and competences of preventing traumas and injuries during physical training, providing first aid when they occur;

- formation of practical skills and competences for the use of means of recovery and stimulation of working capacity in the organization and running of sports classes.

1
 
  • 2.6. Elective disciplines
 
 
  • 2.1.6.1. Contemporary technologies of health-improving physical education

Goals and objectives of the discipline: to study the health-improving technologies of physical education, the mechanisms and specifics of their impact on the human body, with the special aspects of their use for the preventive care and treatment of various diseases, to master the main elements of these health-improving technologies, as well as to understand the technology and specifics of their implementation, taking into account the different degree of capabilities of students.

The content of the discipline is coordinated with the courses “Theory and methodology of physical education“, ”Therapeutic physical culture”, “Sports psychology”.

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  • 2.1.6.2. Integrate and inclusive adaptive physical education
 
 
  • 2.7. Elective module 1
 
 
  • 2.1.7.1. Contemporary types of health-improving physical education

Goals and objectives:

- to form an idea of the essence and purpose of modern types of health-improving physical education in the system of health-improving physical education activities and adaptive physical education;

- to study the basics of the theory and practice of applying modern types and areas of health-improving and recreational physical education: cyclic and acyclic types of health-improving physical exercises; sports and recreation systems and original programs of health-improvement; non-traditional means of health-improvement and health-improving methods of breathing exercises.

The academic discipline is a special subject of study that provides theoretical and practical training of master’s students for professional activities in the field of physical education, tourism and recreational activities.

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  • 2.1.7.2. Private methods of adaptive physical education for people of different ages
 
 
  • 2.8. Elective module 2
 
 
  • 2.1.8.1. Technology of health-oriented classes programming

Goals and objectives of the academic discipline:

- to form an idea of the technology of health-oriented physical education classes programming in the system of health-improving and adaptive physical education;

- to study the algorithms of pedagogical activity that ensure the organization and running of health-oriented classes, taking into account the capabilities of various groups of students.

The academic discipline is a special subject of study that provides theoretical and practical training of master’s students for professional activities in the field of health-improving physical education, tourism and recreational activities. For the successful study of this discipline, it’s necessary for master’s students to have the knowledge, skills and competencies obtained by them in the study of the following disciplines: "Kinesiology as the basis of health-improving and adaptive physical education", "Integrated medical and pedagogical control in health-improving and adaptive physical education".

The discipline has a close logical correlation with the discipline "Contemporary technologies of health-improving physical education". The study of the discipline allows master’s students to master traditional and innovative means, forms and methods of health-improving physical education activities with different categories and age groups of the population / students, which is necessary for successful internship.

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  • 2.1.8.2. Features of disabled people' sport training
 

The main competencies that

the graduate will acquire

  • • Universal competence 1. To be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision-making, etc.) in independent research activities, generate and implement innovative ideas.
    • Universal competence 2. To be able to carry out pedagogical activities in educational institutions, to master and implement effective educational information and communication technologies, pedagogical innovations.
    • Universal competence 3. To have the ability to critically analyze and evaluate modern scientific achievements, generate new knowledge in solving research and practical problems, including in interdisciplinary fields.
    • Universal competence 5. To master the methodology of scientific knowledge, be able to analyze and evaluate the content and level of philosophical and methodological problems in solving problems of research and innovation.
    • Universal competence 6. To be proficient in a foreign language for communication in an interdisciplinary and scientific environment, in various forms of international cooperation, research and innovation activities.
    • Universal competence 7. To have the skills to use modern information technologies to solve research and innovation problems.
    • Specialized competence 1. To be able to independently identify and analyze significant scientific and practical problems in the professional field of physical education and sports.
    • Specialized competence 2. To be able to carry out all types of professional activities to promote a healthy lifestyle of various groups of the population, to form a physically educated person.
    • Specialized competence 3. To be able to use theoretical knowledge about the laws and mechanisms of human development, their anatomical and physiological, biomechanical and psychosomatic features of life activities under the conditions of sports and health-improving physical education activities to solve practical research problems.
    • Specialized competence 4. To master the techniques of medical and health practices of the peoples of the world and the ability to use them for health and correctional purposes.
    • Specialized competence 5. To have the ability to independently plan, organize and control the process of health-improving and adaptive physical education classes, taking into account a comprehensive assessment of the condition of the students.
    • Specialized competence 6. To be able to independently develop comprehensive health and correctional programs for various groups of the population.
    • Specialized competence 7. To be able to program personal and group classes with modern types of health-improving physical education, taking into account the gender, age, level of physical fitness of the students.
    • Specialized competence 8. To be able to manage the process of physical education of persons engaged in adaptive physical education, taking into account age and health status.
    • Specialized competence 9. To master technologies for organizing the process of adaptive physical education and sports training of persons with disabilities.
    • In-depth professional competence 1. To have knowledge and skills of managing small teams in professional activities in the field of physical education and sports, monitoring processes, identifying possible risks, and be able to make independent management decisions.
    • In-depth professional competence 2. To plan, organize, control and adjust the educational process, research, organizational and managerial, sports, health-improving physical education activities, to choose and effectively use educational technologies, methods and means of communication.
    • In-depth professional competence 3. To master the skills of working with the main software products of information technologies, methods of mathematical modeling and optimization for solving research problems in the field of physical education and sports.
    • In-depth professional competence 4. To be able to search, analyze and systematize scientific information in the field of physical education and sports, set research goals and objectives and choose the best ways to achieve them in practice.
    • In-depth professional competence 5. To have the ability of a variable approach to solving modern scientific problems and practical problems in the field of physical education and sports, taking into account theoretical and methodological, general scientific, pedagogical and concrete scientific provisions and principles.

Options to continue education

(postgraduate specialties)

 13.00.04 Theory and methods of physical training, sports training, health-improving and adaptive physical education.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

About 1,000 graduates of Yanka Kupala State University will be assigned to the first job this year (VIDEO ADDED)

On 8th of April in Yanka Kupala State University of Grodno started the distribution of university graduates of daily budget students. The first recipients were from the Faculty of Physical Education. The first job was allocated primarily to students who were trained with funds from the national budget. However, as in previous years, job placement was also available for fee-paying students.
– Every year the Yanka Kupala State University provides 100% of graduates with the first job. In fact, we already at the stage of the reception campaign carry out the recruitment of students according to the needs of the client organizations, therefore we have no problems with the distribution of graduates, - explained Marina Kolotsa— the Head of the educational-methodical administration. Further education at the university is carried out in close cooperation with the clients of personnel. They participate in the preparation of curricula, conduct classes and they are members of State examination commissions. Our students are practicing at their intended place of employment. At the request of the client organizations, students write diploma and carry out interdisciplinary projects. And finally, the first job for many of our graduates is the place they have been preparing for throughout their studies. For example, Oksana Dobrinskaya, a graduate of the Faculty of Physical Education, successfully combined university and work in kindergarten, introducing children to physical culture. She didn’t worry on the eve of the distribution: Oksana has an application from a future employer and a fairly high rating among the students of the faculty.
– I’m the third-highest in my class, so I’m counting on a good distribution, - told Oksana Dobrinskaya. - I’ve been working at a kindergarten in Grodno as a physical education director for a year now. I hope I’ll stay there, I really like my job. I’ve learned a lot already, and in two years I’ll be a young specialist, I’ll learn more about the profession, I’ll gain experience.
But Artem Zayac knew that he would return to his native Dyatlovsky district four years ago, when he was just admitted to the Faculty of Physical Culture of the Yanka Kupala State University of Grodno. He has a target orientation and also experience in one of the Grodno schools, which will be useful for him in the workplace, where he will go on distribution already as a young specialist.
– In my third year as a university student, I started working in school № 22, in Grodno. It was not difficult to combine work and study, as the university provides opportunities for those who work to attend classes on an individual schedule. Now, I’ll return to the Dyatlovsky district, where I have family, relatives. So I’m pleased that this is the way things turn out - shared with Artem Zayac.
Every year the Yanka Kupala State University provides the first job for all graduates. Applications from institutions and organizations of the city and region are sufficient, and this year there are even more applications than graduates to be distributed.
– This year at our faculty there are 36 students of the budgetary form of education, including 7 athletes of the national team, who are in a position not to be distributed - noted Andrey Navoichik, Dean of the Faculty of Physical Culture. - It should be noted that, as of today, we have twice as many applications than graduates who need the distribution. Two fee-paying students have expressed a desire to get assigned to the first job. I think there will be others by the end of the school year.
Graduates of the Faculty of Physical Education are assigned to pre-school and general secondary schools, as well as to sports schools for children and young people and physical education centers. Some athletes remained in their teams.
In general, the Yanka Kupala State University in Grodno plans to distribute about 1,000 graduates in 2021. Generally, 90 per cent of them stay in the Grodno region. The most in demand today are graduates of pedagogical specialties. By the way, at Kupalov University about 40% of graduates are young teachers. The graduates of pedagogical specialties are the most needed. By the way, at Yanka Kupala State University about 40% of graduates are young teachers.

Yanka Kupala State University of Grodno will participate in the International Innovation Exhibition and Research Competition HI-TECH-2021

The exhibition «High Technologies. Innovation. Investment» will take place on April 21-23 in Saint Petersburg.
In the collective section of scientific and technical development of the Ministry of Education of Belarus at the International Exhibition «High Technologies. Innovation. Investment» (HI-TECH) two developments will be presented by Yanka Kupala State University of Grodno. The developer of «Digital Systems of Spectral Measurement Automation» is Andrey Herman, Head of the Department of Electrical Engineering and Electronics of the Faculty of Physics and Engineering. The development is intended for the automation of spectral measurements in the creation of new and modernization of existing scientific installations and laboratory equipment used in optical spectroscopy.
The second project, which will be presented at the exhibition and also take part in the competition «Best Innovative Project and Best Scientific and Technical Development of the Year» is - «Energy-efficient Thermal Insulation Foam Glass Material». Scientists of Yanka Kupala State University have developed the optimal structure of foam glass in order to reduce its energy consumption and cost of production. It is a modification of the classical foam glass by replacing the traditional gas reservoir with a local raw material resource, dolomite flour, and the use of granite cuttings to reduce energy costs up to 30 percent during the milling of raw materials. The proposed material can be used for the thermal rehabilitation of existing buildings and structures, as well as for the heating of building structures of new buildings and structures. It is worth noting that at present no foam-glass is produced in the Republic of Belarus at all, and in the Russian Federation the volume of foam-glass is less than 5 per cent of the volume of heat-insulating materials produced. On the other hand, the prevalence of cullet in the national economy and the intensive waste from the stone processing industry imply their integrated use in the production of building materials, in particular foam-glass. A team of scientists from the Engineering and Construction faculty of Yanka Kupala State University worked on the project. The promotion of development is carried out by the assistant professor of the department of construction production, project manager Dmitry Safonchik and senior lecturer, project developer Svetlana Maksimovich. The research phase has now been completed. At the competition in Saint Petersburg, the development of Yanka Kupala State University will be presented in the nomination «The best innovative project (development) in the field: new materials and technologies, chemical products». HI-TECH is one of the first Russian events in the field of high technology, innovation and investment projects in the field of science and technology. The exhibition is held jointly with the Saint Petersburg Technical Fair, which opens new business opportunities for the participants of the event. The Ministry of Education of the Republic of Belarus has been taking part in the exhibition HI-TECH and the competition of scientific developments since 2007. This year, 40 projects will be presented from 12 organizations and institutions of the Ministry of Education of Belarus. In 2020, representatives of the Yanka Kupala State University brought from Saint Petersburg a diploma and a special prize for the development of «Hybrid technologies for the creation of especially hard and super-solid nanocomposite vacuum coatings». In 2019, students of Yanka Kupala State University were awarded a diploma for active participation in the International Exhibition HI-TECH. In 2016, at the National Exhibition of the Republic of Belarus at the International Exhibition-Congress «High Technologies. Innovation. Investment» the development of scientists of Yanka Kupala State University was awarded with the 2nd degree and silver medal for the best innovative project (development) in the field of nano-systems, nano-devices, nano-materials, nano-technologies, nano-electronics, nano-photonics, spintronics, Bionics, nano-computers, nano-medications.

 

Yanka Kupala State University and International University of Innovative Technologies of Kyrgyzstan plan to implement a joint educational program to train Master’s students in construction

The most promising areas of collaboration between Universities were identified during an online event.
The discussion was held with the participation of the Rector of the International University of Innovative Technologies Ulugbek Begaliev and the Vice-Chancellor of the Educational Work of the Yanka Kupala State University Yuri Belykh. Also the Dean of the Engineering and Construction Faculty of the Yanka Kupala State University Alla Volik was present at the meeting. She spoke about that fruitful cooperation in the field of science that has been going on for about a year and a half between Yanka Kupala State University of Grodno and the International University of Innovative Technologies. Representatives of the two partner universities regularly participate in joint research and practical conferences and workshops and share their knowledge and expertise. During the online dialogue, a proposal was also made to the scientists of the two universities to become more active in scientific publications of the Yanka Kupala State University and the International University of Innovative Technologies.
Joint implementation of educational projects could be the next step towards further development of mutually beneficial cooperation between universities, as noted during the virtual meeting. Thus, the idea of joint training of masters in the field of construction was voiced. Working groups will be set up in the near future, after studying the curriculum, to begin planning the educational programme. The representatives of the Kyrgyz Republic noted that they were ready to consider options for developing joint educational programs to train specialists not only in the construction field but also in the economy and the energy sector.
The Yanka Kupala State University of Grodno has not yet carried out joint educational programmes with universities in the Kyrgyz Republic. However, two years ago, international cooperation agreements were signed with three institutions of higher education in Kyrgyzstan, the Kyrgyz State University named after I. Arabayev, The Kyrgyz National University named after J. Balasagyn and the Bishkek Humanitarian University named after K. Karasayev.
Topic: At the moment Kupalov University successfully implements joint educational programs with six foreign institutions of higher education: AIC Campus (Sri Lanka), Aktyubinsk Regional State University named after K. Zhurbanov (Republic of Kazakhstan) Tashkent State University of Law (Uzbekistan), Shandong University, Karshin State University and Chongqing Polytechnic University.

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