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Systems Dynamics and Complexity
Last Updated: 2026-02-05 15:25:18
Abstract
1. Foundations of systems thinking, system oriented management, project management incl. critical path method2. Systmes dynamics, feedback mechanism, oscillations, epidemic models3. Non-linear dynamical systems, complex systems theory, role of control parameters
Objective
The present lecture delivers a basic understanding of the dynamics of systems. Alongside classic approaches to systems dynamics, particular emphasis is placed on quantitative tools for modelling and computer simulation of complex systems. Based in examples from project management, it is shown how the insights gained can be put into practice.
Content
The lecture has three main parts. In the first part, an overview is given of the foundations of system thinking and its history. The insights are then applied to both systems oriented management and project management. Various concepts are discussed in respect to possible systems optimizations: the problem solving cycle, project phases, bar charts, and the critical path method. The second part of the lecture introduces the dynamics of systems. Basic insights such as delays, time scales, and feedback mechanisms are used to analyse and simulate oscillations in systems. In the third part, system behavior is studied through complex systems theory. We employ mainly quantitative methods in order to study the interaction of system elements and the role of control parameters. Self-study tasks provide opportunities to deepen the understanding of the topics introduced during the course, especially with simulations in Vensim.
Resources
Lecture Notes
Slides used in the lecture are provided as annotated handouts with reference to additional literature. The handouts are made available via the homepage of the Chair of Systems Design.
Literature
Literature hints are provided in the handout.
General Information
- Language
- English
- Levels
- BSC , MSC , NDS
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Systems Dynamics and Complexity |
|
2 h weekly |
Offered In
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Major in Enterprise Sciences (Programme Variant B) (At least 7 credits in the area of Finance, and 6 credits in the area of Business Administration must be obtained.)
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Management, Technology and Economics Master ("Students meet Tutors" Welcome and Introduction to MSc MTEC ETH Tuesday, 16th september 08, 9-12h, room: HG G 60)
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Application Area (only necessary for the Master degree in Applied Mathematics)
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1. Semester, Course 2008/2010 (Introduction to MAS MTEC study program, september. 2nd, 2008, 17.30 h, Semper-Aula HG G60)
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