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SYSE 532 - Dynamics of Complex Engineering Systems

This course deals with understanding the higher-level behavior and issues that emerge from interaction between components in complex socio-technical systems. The course emphasizes system thinking, dynamic cause and effect relationships, and the higher-level emergent behavior that results from the interaction of many smaller effects that are individually well understood, but more difficult to grasp at a higher level.

Systems dynamics deals with understanding the higher-level behavior and issues that emerge in complex socio-technical systems. Students successfully completing this course will be able to:
• Solve a spectrum of problems that arise when designing complex engineering systems by applying system dynamic principles and tools
• Develop/Improve their systems-thinking skills
• Model and extract important emergent dynamic behavior from interactions between sub-components of a complex engineering system
• Use objective and practical skills grounded in engineering to deal with the typical hurdles that mature engineering system organizations deal with


ENGR 501 (Foundations of Systems Engineering); or concurrent registration. Credit not allowed for both SYSE 532 and ECE 532

Important Information

Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email to learn more. Discounts are not applicable to Denver sections.

Textbooks and Materials

Section 801


  • Business Dynamics: Systems Thinking and Modeling for a Complex World with CD-ROM (2000)
    John D. Sterman

Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.


Kamran Shahroudi
Kamran Shahroudi

Kamran Eftekhari Shahroudi received his BTech (1988 Loughborough University, UK), MSAE (1989 University of Michigan, Ann Arbor) and PhD. (1994 Delft, Netherlands) in the field of Gas Turbine-Based Propulsion System Conceptual/Preliminary Design. He completed his post-doc research in the area of Computational Steering and Visualization at the Center for Math and Information Technology in Amsterdam. He joined Woodward in 1997 to balance his academic background with heavy industrial experience.

In 2006 he joined the System Design and Management program at MIT and received his Master of Science in Engineering and Management (a kind of systems and technically oriented MBA) in 2008. He currently serves as a Controls Analyst and Engineering Manager at Woodward in Fort Collins, Colorado.

His current R&D interests include Multidisciplinary System Design Optimization and Robust Control of Prime Mover Systems in addition to using Complex System Dynamics to objectively solve management and technical problems. Please check Google Scholar for published work and patents.

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