545-0492/01 – New Methods in System Practice (MNSP)
Gurantor department | Department of Economics and Control Systems | Credits | 5 |
Subject guarantor | doc. Dr.Ing. Zdeněk Neustupa | Subject version guarantor | doc. Dr.Ing. Zdeněk Neustupa |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 2 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2005/2006 | Year of cancellation | 2019/2020 |
Intended for the faculties | HGF | Intended for study types | Follow-up Master, Bachelor |
Subject aims expressed by acquired skills and competences
Goal is analysis of system dynamics problems and models synthesis. Student will be able to providing experiments with models for prediction and recommendation of solution problems.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
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česky
německy
In this course students will be familiar with the theoretical and practical knowledge in the field of systems thinking and system dynamics, such as system archetypes, nonlinearities, feedback, delay, mental models, causal loop diagrams, etc. Students will also be introduced to tools for the description and modeling dynamical systems. The course will explain how to create dynamic models. Through examples of modeling practices, students learn about the modeling tool Powersim.
First System - definition view of the objects from the systemic perspective, depth and resolution of the system, the angle, open closed systems, types, elements, links, system, subsystem, internal variables, external variables, diagram of system boundaries
Second Complexity and complexity - the complexity of the concept, detailed and dynamic complexity, interdependence, nonlinearity, uncertainty, feedback (positive, negative, additive, proportional feedback, the effects of delay), delay
Third Systems thinking - mental models, systems thinking skills
4th System tools and creative thinking
5th System archetypes
6th System dynamics
7th To create models - problem definition, data collection, determine the assumptions and hypotheses, definitions of variables, their units and determine their types (levels, flows, constants, variables), formulation and formalization of the model, testing the model, what if analysis and simulation of the model etc.
8th Modeling of dynamic systems - definitions of variables, elements utilized in the model (flow, level, constants, variables, connections), and set the time step in the simulation, integration methods
9th Advanced modeling tools options - elements for entering the input values of the model (graph functions, input fields, potentiometers, etc..), Components for displaying the results of simulations (graphs, value fields, tables, etc.), creation of a simulator
10th Advanced options modeling tools - Export and import values for a file, using arrays
11th Modeling basic building blocks of mathematical models and their interpretation (sample transfer mathematical description - differential equations to model) - positive feedback, negative feedback, S curve
12th Modeling basic building blocks of models - overshoot and collapse, oscillations, simultaneous streams
13th Practical examples of models - limits to growth, population aging chain, tank, loan, bank account
14th Presentation software other means for modeling dynamics (Powersim, Vensim, Stella, IThing, Dynamo)
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Homeworks, tests, projects.
E-learning
Other requirements
Students develop individual programs by entering a teacher.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1.System
2.Complexity and Complicacy
3.System thinking
4.System think tools
5.System archetyps
6.System dynamics
7. Model design workflow
8. Modeling of dynamic systems
9. Extended possibilities of modeling tools I
10. Extended possibilities of modeling tools I
11. Modeling of basic constructions I
12. Modeling of basic constructions I I
13. Practical demostrations of models
14. Introduction of other modelling tools
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction