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Modeling Engineered Systems Lecture 1: Everything Is The Same
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Everything Is The Same - Modeling Engineered Systems
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- 1 Modeling Engineered Systems Lecture 1: Everything Is The Same
- 2 Modeling Engineered Systems Lecture 2: Modeling Components
- 3 Modeling Engineered Systems Lecture 3: Newton's Laws
- 4 Modeling Engineered Systems Lecture 4: Euler Integration
- 5 Modeling Engineered Systems Lecture 5: Exponential Solutions
- 6 Modeling Engineered Systems Lecture 6: Superposition
- 7 Modeling Engineered Systems Lecture 7: Newton's Laws with Mass
- 8 Modeling Engineered Systems Lecture 8: Newton's Laws with Several Masses
- 9 Modeling Engineered Systems Lecture 9: Imaginary Numbers & Euler's Formula
- 10 Modeling Engineered Systems Lecture 10: Imaginary Numbers Continued
- 11 Modeling Engineered Systems Lecture 11: Vector and Matrix Representation
- 12 Modeling Engineered Systems Lecture 12: Vector Solutions to ODEs
- 13 Modeling Engineered Systems Lecture 13: Chemical Diffusion and Fick's Law
- 14 Modeling Engineered Systems Lecture 14: The Diffusion Equation with No Accumulation
- 15 Modeling Engineered Systems Lecture 15: The Diffusion Equation with Accumulation
- 16 Modeling Engineered Systems Lecture 16: Time-Varying Diffusion
- 17 Modeling Engineered Systems Lecture 17: The Convolution Equation
- 18 Modeling Engineered Systems Lecture 18: Modeling Electrical Components
- 19 Modeling Engineered Systems Lecture 19: Kirchhoff's Laws
- 20 Modeling Engineered Systems Lecture 20: Kirchhoff's Laws with Inductors
- 21 Modeling Engineered Systems Lecture 21: Vector and Matrix Representation in Kirchhoff's Laws
- 22 Modeling Engineered Systems Lecture 22: Mechanical/Electrical Analogies
- 23 Modeling Engineered Systems Lecture 23: Interpreting Mathematical Expressions as Physical Systems
- 24 Modeling Engineered Systems Lecture 24: Everything Is The Same - Almost
