Тraining course Simulation analysis and modeling of enterprise activityCOURSE ANNOTATION training course "Simulation analysis and modeling of enterprise activity" Recommended for students pursuing a first (bachelor’s) level of higher education Course Objective The aim of the course is to form competencies (knowledge, skills, and abilities) regarding modern analytical and simulation tools used to support decision-making at the enterprise level, as well as within individual functional subsystems (marketing, logistics, production, investment, finance, etc.). The course involves the use of specialized software. Interdisciplinary connections of the discipline The training course “Simulation Analysis and Modeling of Enterprise Activity” is organically integrated with disciplines such as “Microeconomics,” “Macroeconomics,” “Enterprise Economics,” “Statistics,” “Finance,” “Accounting,” “Applied Informatics,” and “Applied Modeling.” Learning Outcomes, Teaching Methods, and Assessment Tools Table 1 – Teaching Methods and Assessment Tools for "Simulation Analysis and Modeling of Enterprise Activity" according to learning outcomes
Course Content by Topics Module 1 Topic 1. Structure of Enterprise Business Processes, Their Information Support, and Analytical and Simulation Support Topic 2. Information Support and Analytical and Simulation Support for Enterprise Marketing Activities Topic 3. Analytical Support for Enterprise Supply Management of Raw Materials, Materials, and Energy Resources Topic 4. Information Support and Modeling of the Enterprise Production Program Topic 5. Information Support and Analytical and Simulation Support for Enterprise Production and Sales Decision-Making Under Environmental Uncertainty Module 2 Topic 6. Information and Analytical Support for Managing the Structure and Reproduction of the Enterprise Technical and Technological Base Topic 7. Information Support and Analytical and Simulation Tools for Supporting Enterprise Investment Decisions Topic 8. Information and Analytical Framework for Managing Enterprise Financial Operations and Financial Investments Topic 9. Information and Analytical Potential of Enterprise Management and Financial Reporting and Public Information and Analytical Systems Topic 10. Information Support and Tools for Diagnostics of the Enterprise Financial Condition Faculty Members Teaching the Course Oleksiy Kotsyuba, Doctor of Economics, Associate Professor, Department of Business Economics and Entrepreneurship, kotsyuba.oleksiy@kneu.edu.ua Recommended Information Sources 1. Luhinin, O.Y. et al. Use of Information Technologies in Decision-Making Theory: Textbook. Odesa: OLDI-PLUS, 2019. 238 p 2. Bishovets, N.H., et al. Probabilistic and Statistical Modeling in Excel for Decision-Making: Textbook / edited by A.I. Kuzmychov. Kyiv: Lira-K, 2020. 199 p 3. Karimov, H.I., Karimov, I.K. Modeling and Forecasting in Management: Computer Practice in MS Excel: Textbook. Kamianske: DDTU, 2023. 145 p 4. Lozovyk, Y.M., Halperina, L.P. Business Simulation "Titans of Business": Practical Guide. Kyiv, 2015. 185 p 5. Lozovyk, Y.M., Halperina, L.P. Computational-Analytical Complex of Business Simulation "Titans of Business". Kyiv, 2017. 206 p 6. Guerrero, H. Excel Data Analysis: Modeling and Simulation 2nd ed. Cham: Springer, 2019. 358 p 7. Rees, M. Business Risk and Simulation Modeling in Practice: Using Excel, VBA, and @RISK. Chichester: John Wiley & Sons, 2015. 464 p 8. Winston, W. Microsoft Excel Data Analysis and Business Modeling. 7th edition. Microsoft Press, 2022. 1168 p. Last redaction: 10.02.26 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||