Systems Thinking "We can't solve problems by using the same kind of thinking we used when we created them." Albert Einstein Too often, today’s problems are solved by utilizing easy and comfortable approaches to obtain simple solutions. In reality as many discover simplicity and common approaches are far from effective in dealing with complex, dynamic and diverse problems. Despite the initial apparent ease and comfort, focus tends to be on the elements of the problem, rather than the “bigger picture”; and typically there is no consideration of interactions, and the belief that there is one best solution. As more and more program failures escalate there is an increasing need to improve and create better results through systems thinking. Systems’ thinking is a discipline of seeing the “whole”, recognizing patterns and interrelationships, and learning how to structure more effective, efficient and creative system solution(s). This course will acquaint students to basic concepts of systems thinking. The primary emphasis will be the introduction of basic systems thinking fundamentals, i.e. defining and understanding the systems perspective about any situation or problem, solving problems with that perspective, describing and modeling a problem, and designing and improving system solutions. Course Learning Objectives After completing this course students will be able to: Provide an overview of the history, research and perspectives of systems thinking Establish a basic understanding of systems thinking terminology, methods, concepts and tools. Understand and document system thinking objectives Describe and model solutions that will enable system thinking objectives Evaluate when it is appropriate to apply thinking methods, i.e. reductionist methods (data collection, statistical quality control, operations research, etc.) and when to apply systems thinking methods (Smart Questions, etc.) Apply systems engineering and analysis techniques in a spiral development framework to implement system solutions Translate system thinking objectives into a problem statement that can be solved by traditional engineering techniques and skill sets (EE, ME, CE, CECS, ISE, Sciences etc.) Grading: Midterm Final Class Project Exercises 25% 25% 25% 25% Text Book: Rather than a traditional text book, a course reader will be assembled for this course. This will expose students to a variety of resource materials including course slides Course Structure: 1. Week 1. Lecture 1: Introduction & Overview a. The Purpose b. What is a System? c. What is Systems Thinking? d. Why Systems Thinking? e. Key Terminology f. Exercise 2. Week 2: Lecture 2: A View from the Past to Present a. General Systems Theory b. Learning Organization c. System Dynamics d. Iterative Design e. System Approaches in Different Fields of Science f. Full Spectrum Thinking Principles g. Exercise 3. Week 3: Lecture 3: The Purpose a. Linear / Reductionist vs Systematic /Integrated b. Solving the wrong problem perfectly c. Complexity d. Interdependence e. Power of Group and Teams f. Exercise 4. Week 4: Lecture 4: Approach & Methods I a. Hard & Soft Systems b. Methods i. Systems ii. Operational iii. Hard iv. Soft c. Exercise 5. Week 5: Lecture 5: Approach Methods II a. Systems Engineering & System Architecting b. Smart Questions c. Exercise 6. Week 6: Case Study 1 Breakthrough Thinking & Smart Questions a. Guest Speaker: Center for Breakthrough Thinking Guest b. In-class Exercise, students turn in completed in-class exercise. 7. Week 7: Midterm 8. Week 8: Lecture 5: Describing and Visualizing the Problem a. Brainstorming Tools b. System Mapping c. Dynamic Thinking Tools d. Structural Thinking Tools e. Computer – Based Tools f. Translating system objectives and the future solution description into a problem statement that can be solved today g. Exercise 9. Week 9: Lecture 6 The Solution & Applications a. Systems Thinking Tools Application b. Exercise 11. Week 10: Lecture 7 System Implementation and The Next Release a. Systems Engineering and Spiral Development i. Evolutionary and incremental implementation ii. Timely system implementation b. Planning technical implementation and system design i. Prioritize system capability phasing ii. Technology Roadmapping iii. Engineering Economy c. Managing technical implementation and system design i. Engineering Management Exercise 11. Week 11: Lecture 8 The Solution & Applications I a. Application 1: Leadership/ Learning Process b. Exercise 12. Week 12: Lecture 9: The Solution & Applications II a. Application 2: Job Design b. Application: 3: Global Warming c. Exercise 13. Week 13: Lecture 10: The Future of Systems Thinking and The Next Steps 14. Week 14: Class project presentations 15. Week 15: Final Bibliography 1. Russell L. Ackoff (1999) Ackoff's Best NY: Wiley 2. Virginia Anderson and Lauren Johnson (1997) Systems Thinking Basics: From Concepts to Causal Loops (Pegasus) 3. Robert Axelrod and Michael D. Cohen ( ) Harnessing Complexity 4. Bela H. Banathy (1996) Designing Social Systems in a Changing World NY: Plenum 5. Bela H. Banathy (2000) The Guided Evolution of Society NY: Plenum/Kluwer Academic 6. Ludwig von Bertalanffy (1968) General System theory: Foundations, Development, Applications, George Braziller New York 7. Peter Checkland (1981) Systems Thinking, Systems Practice. (Wiley) 8. Peter Checkland Jim Scholes (1990) Soft Systems Methodology in Action. (Wiley) ISBN 0-471-92768-6 9. Peter Checkland Jim Sue Holwell (1998) Information, Systems and Information Systems. (Wiley) ISBN 0-471-95820-4 10. John Gall (1978) Systemantics Pocket Books 11. Jamshid Gharajedaghi Systems (2005) Thinking, Second Edition: Managing Chaos and Complexity: A Platform for Designing Business Architecture (Butterworth-Heinemann) 12. Charles L. Hutchins (1996) Systemic Thinking: Solving Complex Problems CO:PDS ISBN 1-888017-51-1 13. Michael C. Jackson ( ) Systems Thinking; Creative Holism for Managers 14. Bradford Keeney(1983) Aesthetics of Change Guilford Press 15. Daniel H. Kim Introduction to Systems Thinking (Pegasus Communications Inc.) 16. Daniel H. Kim (1995) "Systems Thinking Tools: A User's Reference Guide" Part of the Toolbox Reprint Series. (Pegasus Communications Inc.) 17. Draper Kauffman ( ) System One and System Two 18. M. Davidson, Uncommon sense: The life and thought of Ludwig von Bertalanffy, Father of General Systems Theory (J. P. Tarcher, Inc) 19. Gerald Nadler, Shozo Hibino (1999) Creative Solution Finding: The Triumph of Breakthrough Thinking over Conventional Problem Solving Prima Publishing 20. Gerald Nadler, William Chandon ((2004) Smart Questions: Learn to Ask The Right Questions For Powerful Results John Wiley & Sons, Inc. 21. Joseph O'Connor, Ian McDermott (1997) The Art of Systems Thinking: Revolutionary Techniques to Transform Your Business and Your Life HarperCollins. 22. Tom Ritchey (2002) General Morphological Analysis: A General Method for Non-Quantified Modelling 23. Mitchell Resnick ( ) Turtles, Termites and Traffic Jams 24. Peter M. Senge (1990) The Fifth Discipline - The Art & Practice of The Learning Organization (Currency Doubleday). 25. Senge, Kleiner, Roberts, Ross and Smith The Fifth Discipline Fieldbook 26. Dennis Sherwood ( ) Seeing the Forest for the Trees: A Manager’s Guide to Applying Systems Thinking 27. Lars Skyttner (2006) General Systems Theory: Problems, Perspective, Practice (World Scientific Publishing Company) ISBN 9-812-56467-5 28. Gerald M. Weinberg (1975) An Introduction to General Systems Thinking (1975 ed., Wiley-Interscience) (2001 ed. Dorset House). 29. Brian Wilson (Systems) (1984) Systems: Concepts, Methodologies and Applications. (Wiley) ISBN 0-471-92716-3 30. Brian Wilson (Systems) (2001) Soft Systems Methodology: Conceptual Model Building and its Contribution. (Wiley) ISBN 0-471-89489-3 31. Heidi Leoti Davidz, Enabling Systems Thinking To Accelerate The Development Of Senior Systems Engineers, Doctor Of Philosophy In Engineering Systemsat The Massachusetts Institute Of Technology, February 2006 Disability Policy Statement Any Student requesting academic accommodations based on a disability is required to register with Disability Services and Programs (DSP) each semester. A letter of verification for approved accommodations can be obtained from DSP. Please be sure the letter is delivered to the professor (or to TA) as early in the semester as possible. DSP is located in STU 301 and is open 8:30 a.m. - 5:00 p.m., Monday through Friday. The phone number for DSP is (213)740-0776.