Applied Mathematics

 

This section presents a list of publications from the library of Sumy State University on Applied Mathematics for 2020-2023.
Electronic versions of publications are available in the Electronic catalog, subject to authorization through the Personal cabinet.

A complete list of books is available from the Electronic Catalog, for this use to search by discipline.

 

 

 

 

 

Discrete Mathematics and Theory of Algorithms: in four parts. P.1 / A.V. Dvornichenko. — Sumy : Sumy State University, 2022. — 275 p.

 

 

 

Discrete Mathematics and Theory of Algorithms: in four parts. P.2 / A. V. Dvornichenko. — Sumy : Sumy State University, 2022. — 148 p.

 

 

 

Mathematical Analysis / A.Yu. Badalіan. — Sumy : Sumy State University, 2021. — 58 p.

 

 

 

Python and Data Science: lecture notes / U. Shvets. — Sumy : Sumy State University, 2021. — 101 р

 

 

 

 

 

• Differential equations. Stability theory [Текст] : lecture notes / I. I. Kozlova. — Sumy : Sumy State University, 2021. — 33 p.
• Discrete Mathematics and Theory of Algorithms [Електронний ресурс] : lecture notes: in four parts. P.1/ A. V. Dvornichenko, O. V. Lysenko. — Sumy : Sumy State University, 2022. — 275 p.
• Discrete Mathematics and Theory of Algorithms [Електронний ресурс] : lecture notes: in four parts. P.2/ A. V. Dvornichenko, O. V. Lysenko. — Sumy : Sumy State University, 2022. — 148 p.
• Mathematical Analysis [Текст] : lecture notes / A. Yu. Badalіan, I. I. Kozlova. — Sumy : Sumy State University, 2021. — 58 p.
• Mathematical analysis (integrated calculation and numerical series) [Текст] : lecture notes / A. Yu. Badalіan, I. I. Kozlova. — Sumy : Sumy State University, 2021. — 51 p.
• Mathematical Models in Physics [Електронний ресурс] : lecture notes: in 3-e p. P.1 : Mathematical Models in Mechanics / O. Lysenko, Iu. Volk. — Sumy : Sumy State University, 2023. — 258 p.
• Python and Data Science [Електронний ресурс] : lecture notes / U. Shvets, I. Knyaz’. — Sumy : Sumy State University, 2021. — 101 р.

 

 

 

 

 

• Analytics Vidhya (AV) – a site featuring blogs on machine learning, data visualization, and more. Blogs regularly host hackathons and coding competitions.
• Codementor – the platform offers access to a number of useful guides on how to analyze the best data, an introduction to machine learning, and advice on choosing the right data analysis software packages. The tutorials are designed for beginners and professionals.
• Cognitive Class – a platform where you can get practical skills in the fields of data science, artificial intelligence, blockchain cloud computing, etc.
• Compute Expert – excel tutorials, calculations, formulas, tips, consultations.
• Excel Easy – online tutorial for users who do not have experience with Excel. Contains basics, functions, over 300 examples, data analysis, and Visual Basic for Applications.
• ExcelMojo – learn and master Microsoft Excel with over 200 free articles, step-by-step tutorials, all about formulas and functions, self-study resources, and Excel templates.
• Excel Tutorials – the blog contains Excel tutorials from basic to advanced: formulas, tools, charts, productivity techniques, useful Excel tips, and types of formulas with a practical approach.
• Flowingdata – tutorials offer expert advice on presenting, analyzing, and understanding data with real-time examples. 
• Kaggle – a platform for researchers of various levels where they can test their data analysis models on serious and relevant tasks. The essence of such a resource is not only the opportunity to receive a good cash prize if your model turns out to be the best but also to gain experience and become an expert in the field of data analysis and machine learning.
• KDnuggets – the leading AI, Analytics, Big Data, Data Mining, Information Technology and Machine Learning site.
• STHDA – website for statistical data analysis and data visualization using R software. It offers many tutorials on R programming.
• Topcoder – the website offers tutorials that discuss various concepts related to data science and a platform where industry experts can provide advice.
• Towards Data Science – a platform hosted on Medium to share ideas and expand the understanding of data science to thousands of people. The corporation is registered in Canada.
• American Mathematical Society (AMS) – the society promotes the development of interests in the field of mathematical research and serves the national and international community with the help of its publications, meetings, advocacy, and other programs.

 

 

• The World Bank
• World Trade Organization
• World Health Organization (WHO) 
• World Tourism Organization (UNWTO)
• International Monetary Fund
• International Labor Organization
• International Association of Official Statistics 
• Organization of European Economics Cooperation (OEEC)
• United Nations Conference on Trade and Development (UNCTAD)
• UNESCO
• Economic Freedom of the World (The Fraser Institute)
• Eurostat
• EU Open Data Portal
• Internet World Stats

 

 

• re3data.org – register of research data repositories. 
• Alpha Vantage – a leading provider of free APIs for real-time and historical data on stocks, forex (FX), and digital / cryptocurrencies.
• UNData – the search engine allows you to download data from the statistical resources of the United Nations.
• KDnuggets – the largest portal for intelligent data analysis.
• Kaggle – a platform for analytics and predictive modeling competitions where statisticians and data miners compete to create the best models to predict and describe data.
• BASE – search engine for data and scientific information.
• Dataset Search – search service will be useful for scientists and researchers, journalists, and anyone interested in statistics related to the environment and social sciences, government data, and data from news organizations.
• Quandl – is an open platform that provides access to over 9 million free datasets. Quandl has a huge amount of statistical and economic data from anywhere in the world. Quandl can instantly receive data in Excel, CSV, text, JSON, and XML formats from 500 sources. Currently has API Quandl packages for R, Python, Matlab, Excel, Stata, Maple, C #, EViews, Java, C / C ++, .NET, Clojure and Julia. Registration is required for access.
• Statista – a portal where you can search various statistical databases worldwide.
• Worldometers – tracks statistics on world population, government and politics, natural resources, health, and mass media in real-time.
• Internet Live Stats – tracks internet usage statistics (number of websites, e-mails sent, active social media users).
• Google Trends – a public web application based on Google search, which shows how often a certain term is searched for in relation to the total volume of searches in different world regions and in different languages. 
• Open Data Impact Map – a public database of organizations using open government data worldwide.
• Data.gov U.S. – US government open data, the platform provides access to information on various topics provided by federal, state, and local governments.
• Data.gov UK – a UK government project that opens up almost all non-personal data collected for official purposes for free reuse.
• Health Data – a site of medical data that is searchable and publicly available to improve research outcomes.
• Open Corporates – an open database of corporate data provides access to information about more than 100 million companies worldwide.
• National Center for Environmental Information – the world's largest open portal of ecological data.
• Earth Data by NASA – open data from NASA's Earth Observations.

 

 

 

 

 

 

 

 

 

Cybernetics and Data Science Digest is a collection of the latest news, covering key events, current research, and the latest trends in the development of modern digital technologies in the field of cybernetics and data science in Ukraine and the world, namely the development of language models, the application of artificial intelligence technologies, programming languages, open data, new developments in the gaming industry, etc.

Frequency: monthly. Materials are submitted in the original language.

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