3 semester

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Course title

System dynamics and agent modelling

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Term,

study programme

Second year,

1-31 81 08 Computer Mathematics and System Analysis, term of training – 2 years

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Semester

3

4

Credits

3

5

Lecturer

Lavrova Olga Anatolievna

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Course Objective

Formation and improvement of knowledge and practical skills for creation dynamic (simulation) models of complex systems and processes, based on the principles of system dynamics and agent-based modeling. Improvement of practical skills for a systems analysis, based on the results of their computer (simulation) modeling

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Prerequisites

Applied system analysis. Computer mathematics. Differential equations

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Course content

System dynamics. Qualitative analysis of complex systems based on causal loop diagrams. Relationship of system structures and behavior (system archetypes). The concept of stocks and flows. Quantitative analysis of systems with stocks-and-flow diagrams. Continuous and discrete models.

Agent-based modeling. Architecture of agent-based models. Description of agent behavior using state charts (UML standard). Classical models (Bass model of innovation diffusion, predator-prey model). Combined modeling on the example of a supply chain logistics model, where several organizations are linked together by a common business process

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Recommended Literature

1.    Каталевский, Д. Ю. Основы имитационного моделирования и системного анализа в управлении: учебное пособие; 2-е изд., перераб. и доп. / Д.Ю. Каталевский. — М.: Издательский дом «Дело» РАНХиГС, 2015. — 496 с.

2.    Gharajedaghi, J. Systems Thinking: Managing Chaos and Complexity: A Platform for Designing Business Architecture, Butterworth-Heinemann, 2006.

3.     Meadows, D. H. Thinking in Systems: A Primer, Chelsea Green Publishing, 2008.

4.    Senge, P. M. The Fifth Discipline: The Art and Practice of the Learning Organization. Double Day, 1994.

5.    Stroh, D. P. Systems Thinking For Social Change: A Practical Guide to Solving Complex Problems, Avoiding Unintended Consequences, and Achieving Lasting Results, Chelsea Green Publishing, 2015.

6.    Голубева, Л. Л. Компьютерная математика. Пакет имитационного моделирования Simulink: лабораторный практикум / Л. Л. Голубева, А. Э. Малевич, Н. Л. Щеглова. Минск: БГУ, 2010. 151 с.

7.  AnyLogic. http://www.anylogic.com

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Teaching Methods

Mixed with elements of a distance learning, problem-based and research-based learning

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Teaching language

Russian

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Requirements, current control

Presentation and discussion of laboratory results. The exam score consists of the current mark (40%) and the oral exam mark (60%).

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Method of certification

Exam