Course Details

Exam Registration23
Course StatusOngoing
Course TypeElective
LanguageEnglish
Duration8 weeks
CategoriesManagement Studies
Credit Points2
LevelUndergraduate/Postgraduate
Start Date19 Jan 2026
End Date13 Mar 2026
Enrollment Ends02 Feb 2026
Exam Registration Ends16 Feb 2026
Exam Date29 Mar 2026 IST
NCrF Level4.5 — 8.0

Master the Art of Understanding Complex Systems: An Introduction to System Dynamics Modeling

In a world of interconnected challenges—from supply chain disruptions to climate change and economic fluctuations—the ability to understand and model complex systems is a critical skill. Welcome to an in-depth exploration of the Introduction to System Dynamics Modeling, an 8-week course designed and taught by a leading expert from the Indian Institute of Technology Bombay.

Your Guide: Learn from an IIT Bombay Expert

This course is led by Prof. Jayendran Venkateswaran (JV), a distinguished Professor of Industrial Engineering and Operations Research at IIT Bombay. With a faculty tenure since 2005, Prof. JV brings over 14 years of dedicated teaching experience in System Dynamics and Simulation to this program.

His research and teaching passion lies in modelling and analysis of complex socio-economic systems, last-mile supply chains, and energy access. Having collaborated with multinational industries to solve real-world problems using Operations Research methods, Prof. JV combines rigorous academic theory with practical, industry-relevant applications. His enthusiasm for popularizing Systems Thinking and open-source tools like Python and R makes him an engaging and effective instructor.

What is System Dynamics Modeling?

System Dynamics (SD) is a powerful methodology for understanding the nonlinear behavior of complex systems over time. It focuses on how the structure of a system—composed of interconnected feedback loops, stocks, and flows—generates its dynamic behavior. Instead of looking at events in isolation, SD helps you see the underlying patterns and structures that cause those events.

This course will equip you with the tools to move beyond simple linear thinking and model the real-world complexity of business, social, economic, and environmental systems.

Course Overview: What You Will Learn

This undergraduate/postgraduate level course, categorized under Management Studies, is structured over eight intensive weeks. Here’s a breakdown of the curriculum:

WeekFocus AreaKey Learning Outcomes
Week 1Introduction & Causal Loop Diagrams (CLDs)Foundations of Systems Thinking, mapping feedback loops with CLDs.
Week 2Stock-Flow Diagrams (SFDs)Building quantitative models with stocks and flows; graphical integration.
Week 3Simple Dynamic StructuresAnalyzing Reinforcing (growth) and Balancing (goal-seeking) loops.
Week 4S-Shaped GrowthModeling limits to growth and innovation diffusion processes.
Week 5Delays & OscillationsIncorporating delays and understanding sources of oscillatory behavior.
Week 6NonlinearitiesUsing table functions to model complex, nonlinear relationships.
Week 7Model TestingEssential techniques for model verification and validation.
Week 8Application & Wrap-upHands-on modeling exercises, case studies, and course synthesis.

Core Skills and Tools You'll Master

  • Causal Loop Diagramming (CLD): Visually map the cause-and-effect relationships and feedback loops within any system.
  • Stock-Flow Modeling (SFD): Build formal simulation models by defining accumulations (stocks) and their rates of change (flows).
  • Understanding Archetypes: Recognize common system structures like S-shaped growth, oscillations, and overshoot & collapse.
  • Simulation & Analysis: Learn to simulate models to test policies and understand long-term dynamic behavior.

Who Should Take This Course?

Intended Audience: While highly beneficial for all Engineering students, this course is perfectly suited for:

  • Management students and professionals.
  • Policy analysts and public sector professionals.
  • Consultants involved in strategy and operations.
  • Anyone interested in solving complex, real-world problems with a structured, analytical approach.

Industry Support: The methodologies taught are recognized and utilized by leading corporations like TCS and General Mills, underscoring the practical value of the skills you will acquire.

Essential Learning Resources

To support your journey, the course references seminal texts and resources in the field:

  • Sterman, J. Business Dynamics: Systems Thinking and Modeling for a Complex World. (The definitive textbook in the field).
  • Kirkwood, C.W. System Dynamics: A Quick Introduction. (A concise online resource).
  • Goodman, M.R. Study Notes in System Dynamics.
  • Online learning material from the System Dynamics Society.

Why Enroll in This System Dynamics Course?

This course is more than just an academic module; it's a mindset shift. It will empower you to:

  • Diagnose the root causes of complex problems rather than treating symptoms.
  • Anticipate unintended consequences of decisions and policies.
  • Design more robust strategies in business, management, and policy.
  • Communicate complex interrelationships effectively through visual models.

Under the expert guidance of Prof. Jayendran Venkateswaran from IIT Bombay, you will gain not only theoretical knowledge but also the practical modeling skills highly valued in today’s data-driven and interconnected world. Embark on this eight-week journey to become a more effective analyst, manager, and problem-solver by mastering the language of complex systems.

Enroll Now →

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