cecfaff3-0ec3-4dcc-a1d6-b58e76be8c6820210208062924703naunmdt@crossref.orgMDT DepositInternational Journal of Education and Information Technologies2074-131610.46300/9109http://www.naun.org/cms.action?id=3037430202043020201410.46300/9109.2020.14http://www.naun.org/cms.action?id=23206MarinaBatovaDepartment of Informatics and Management Military University of the Ministry of Defence of the Russian Federation 125047, Bolshaya Sadovaya street, 14, Moscow, RussiaIn the challenging Covid-19, and also online education and web-learning expansion conditions, independent and distance forms of student work become especially relevant. As a consequence, the role played by such important parts of the educational process as control and monitoring the knowledge acquisition by students, and also their skills and abilities is growing. In this connection, the need to provide the educational process with a large number of individual variants of tasks, both training tasks and control tests, has increased. In addition, in this case a teacher faces the problem on performing such timeconsuming work as quick checking and evaluating a large number of tasks completed by students, and also monitoring their knowledge and skills. To solve these problems, the paper offers an automated method for creating and checking tasks and tests using Mathcad software. Implementation of this method is shown by an example of topics studied in the courses "Econometrics" and "Mathematical Statistics". The author has a patent issued by the Federal Service for Intellectual Property of the Russian Federation for the developed algorithm.282021282021172181https://www.naun.org/main/NAUN/educationinformation/2020/a402008-020(2020).pdf10.46300/9109.2020.14.20https://www.naun.org/main/NAUN/educationinformation/2020/a402008-020(2020).pdfM. M. Batova, “Formation of digital competencies in the system “education – science – production”, Issues of innovative economy, vol.9. 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Greene, Econometric Analysis, 8th ed,, Prentice Hall, 2017.Y. Hong, Foundations of Modern Econometrics. A Unified Approach, Singapure, World Scientific, 2020. doi.org/10.1142/11824.10.1016/b978-0-12-410410-5.00002-7B. Maxfield, Essential PTC® Mathcad Prime® 3.0. 1st ed., A Guide for New and Current Users, 2013, Academic Press – Elsevier.10.1142/11334H. Tijms Chapter 5: “Computer Simulation and Probability” in Basic Probability. What Every Math Student Should Know, Singapure, World Scientific, 2019, pp. 89–109. doi.org/10.1142/9789811202360_0005.M. Batova, Certificate of state registration of the computer program “Program for automated simulation of econometric models of paired linear regression in MathCad 15” No. RU2020665996, issued by Federal Service for Intellectual Property of the Russian Federation, Moscow, 03.12.2020. https://new.fips.ru/iiss/document.xhtml?faces-redirect=true&id=c8230a459e8b1496a20b69857f037069. (in Russian).