| source Johns Hopkins University (X) |
level Lower Level Undergraduate (27) Upper Level Undergraduate (1) |
department Biomedical Engineering (X) |
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
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Score: 8.566555 Details | Listing | Web page
Prereq: 171.102 (Physics II) and 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) An introduction to linear systems: analysis, stability and control. Topics include first and second order systems, linear time invariant discrete and continuous systems, convolution, Fourier series, Fourier transforms, Laplace transforms, stability of linear systems, input output and state space representation of linear systems, stability, observability, controlability, and PID controller design. .
Score: 8.566555 Details | Listing | Web page
Prereq: 171.102 (Physics II) and 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) An introduction to linear systems: analysis, stability and control. Topics include first and second order systems, linear time invariant discrete and continuous systems, convolution, Fourier series, Fourier transforms, Laplace transforms, stability of linear systems, input output and state space representation of linear systems, stability, observability, controlability, and PID controller design. .
Score: 8.566555 Details | Listing | Web page
Prereq: 171.102 (Physics II) and 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) An introduction to linear systems: analysis, stability and control. Topics include first and second order systems, linear time invariant discrete and continuous systems, convolution, Fourier series, Fourier transforms, Laplace transforms, stability of linear systems, input output and state space representation of linear systems, stability, observability, controlability, and PID controller design. .
Score: 8.566555 Details | Listing | Web page
Prereq: 171.102 (Physics II) and 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) An introduction to linear systems: analysis, stability and control. Topics include first and second order systems, linear time invariant discrete and continuous systems, convolution, Fourier series, Fourier transforms, Laplace transforms, stability of linear systems, input output and state space representation of linear systems, stability, observability, controlability, and PID controller design. .
Score: 8.566555 Details | Listing | Web page
Prereq: 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) This course introduces students to modeling and analysis of biological systems. The first portion of the course focuses on linear systems. Topics include harmonic oscillators, pharmacokinetics, reaction-diffusion equation, heat transfer, and fluid flow. The second half of the course focuses on non-linear systems. Topics include iterated maps, bifurcations, chaos, stability of autonomous systems, the Hodgkin-Huxley model, bistability, limit cycles, and the Poincare-Bendixson theorem. The course also introduces students to the Matlab programming language, which allows them to implement the models discussed in class.
Score: 8.566555 Details | Listing | Web page
Prereq: 110.201(Linear Algebra), 110.302 (Differential equations) or 550.291 (Linear Algebra and Differential Equations) This course introduces students to modeling and analysis of biological systems. The first portion of the course focuses on linear systems. Topics include harmonic oscillators, pharmacokinetics, reaction-diffusion equation, heat transfer, and fluid flow. The second half of the course focuses on non-linear systems. Topics include iterated maps, bifurcations, chaos, stability of autonomous systems, the Hodgkin-Huxley model, bistability, limit cycles, and the Poincare-Bendixson theorem. The course also introduces students to the Matlab programming language, which allows them to implement the models discussed in class.
Score: 8.566555 Details | Listing | Web page