## Systems Dynamics and Complexity
The course encompasses a large range of approaches towards systems and their dynamics, with particular emphasis on problem solving. It starts from basic insights on why real problems are not simple but complex, and why systems do not always do what we expect. Based on that, we introduce tools and methods commonly used in In addition to the theoretical framework developed, emphasis of the course is put on quantitative tools for systems modeling and on real world examples from industries and markets. Weekly
Participants of the course should have an engineering background and be interested in learning about systems dynamics at large, both from a practical and a modeling perspective.
## Fall Semester 2017
Course material is available to registered students in the Moodle platform.
## Resources for this courseLecture Materials
## Syllabus.......................................................................................................... ## 1. Systems: Basic Concepts
- about this course: administrative issues, self-study tasks, seminars
- problems and their solutions: finding, implementing, understanding
.......................................................................................................... ## 2. Systems Engineering
- systems engineering/ systems oriented management: basic approach
- problem solving cycle (PSC) I: situation analysis, definition of objectives
- problem solving cycle II: search for solutions, validation and decision
.......................................................................................................... ## 3. Project Management
- project phases
- bar chart scheduling
- critical path method: precedence network, forward and backward pass, float
.......................................................................................................... - milestone-trend diagram
- integrated cost and date control
- feedback loops, modeling stocks and flows
## 4. Systems Dynamics: Oscillatory Behavior
- What is modeling? software program overview (Vensim)
- feedback processes, causal loops
- example: predator-prey population dynamics
.......................................................................................................... - workforce-inventory model
- ase study: high velocity industry
.......................................................................................................... - demand life cycle
- technology adoption
- mixed source mode
## 5. Nonlinear Dynamics
- control parameters, bifurcation
- logistic map
- chaos, Liapunov exponent
.......................................................................................................... - supply and demand
- cobweb dynamics
- market interaction, bifurcation diagrams
## 6. Economic Dynamics
- Cobb-Douglas production function
- Solow mode
.......................................................................................................... - business cycles
- time-dependent production function
- Kaldor trade mode
.......................................................................................................... - Samuelson’s multiplier-accelerator model
- Hick’s model
- Goodwin model
## 7. Summary
- finding, implementing and controlling solutions
Semesterendprüfung): 21.12.2017 (2 hours) |
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