Everything is the Same: Modeling Engineered Systems

开始时间: 待定 持续时间: Unknown

所在平台: Coursera

课程类别: 工程

大学或机构: Northwestern University(美国西北大学)

授课老师: Todd D. Murphey


课程主页: https://www.coursera.org/course/modelsystems

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Students in this class will learn modeling and analysis techniques applicable to electrical, mechanical, and chemical systems.  This “systems” view, that focuses on what is common to these different physical systems, has been responsible for much of the progress in the last several decades in aeronautics, robotics, and other engineering disciplines where there are many different technologies working together.  

Starting with algebraic descriptions of individual components (such as resistors), the class develops tools capable of predicting large-scale behavior of dynamic systems that evolve over time.  Differential equations are key ingredients, so we will spend significant time learning how to derive differential equations from component descriptions.  One of the key ideas in this class is that electrical, mechanical, and chemical systems may seem very different from each other but often have very similar behavior, allowing us to draw powerful analogies between them.  Case studies from several areas of engineering will be used to illustrate the modeling techniques, including examples from robotics, power networks, drug delivery, vehicle suspension, thermal stress, and flexible electronics.  Students will have the option of doing hands on experiments that demonstrate the utility of the techniques. 


1. What does it mean to model a physical system?
2. Kirchhoff’s laws and resistors, capacitors, and inductors
3. RC circuits and differential equations
4. LRC circuits and systems that oscillate
5. Fick’s law and chemical diffusion
6. Newton’s laws and dampers, springs, and masses
7. Why springs and dampers are like resistors and capacitors
8. Mass and mechanical oscillation
9. Diffusion in electrical and mechanical systems


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Learn modeling and analysis techniques for electrical, mechanical, and chemical systems and discover how engineered systems that seem very different are actually very similar.





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