Available Winter term
IE or similar engineering B.S. degree, or with instructor approval
410 Rogers Hall
This course provides an introduction to systems science theory and practice. Systems science theory is explored through the fundamentals of systems thinking theory, and theory of knowledge. Systems science practice is explored through system dynamics modeling techniques for simulating socio-technical systems, structures, and processes.
- Systems Thinking Theory
- General Systems Theory
- Theory of Knowledge
- Applied Systems Thinking
- Systems Thinking Practice
- Systems archetypes
- Causal loops diagrams
- Stock and flow diagrams
- Software simulation
The student, upon completion of this course, will be able to:
- Describe (identify/write) the underlying concepts of systems science (e.g, what is a system, what is dynamic complexity, what is a problem context) in organizational design and management.
- Describe the role that knowledge has on understanding holistically (ontologically and epistemologically) socio-technical systems from an engineering perspective.
- Describe socio-technical systems as conceptual ecologies through the use of systemic archetypes.
- Develop the theory to describe dynamic complexity within socio-technical systems.
- Show how socio-technical systems’ complex behavior over time is dependent on linear, non-linear and time-delayed interactions.