Searching the World's top universities for courses with:

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Johns Hopkins University (509)
level
Lower Level Undergraduate (X)
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true *,score on 1 25 level:"Lower Level Undergraduate" AND 2.2 25
Total results: 509

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME in the Real World

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - BME Design Group

Not Available
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Systems and Controls

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Systems and Controls

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Systems and Controls

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Systems and Controls

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Models & Simulations

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Models & Simulations

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Models & Simulations

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Models & Simulations

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: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Studio Drawing I

Attendance at 1st class is mandatory. This course focuses on developing fundamental drawing skills for the student with little or no previous studio experience. Basic concepts of form and composition will be taught through exercises based on the book, Drawing On The Right Side Of The Brain, and with the aid of still-life setups and live models.
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Painting Workshop I

Prereq: 371.131 or permission required. This course offers the fundamentals of oil painting techniques for the serious student with minimal prior studio experience. Observational skills are taught through the extensive use of still-life setups, with particular attention paid to issues of light, color, and composition. Slide lectures and a museum trip give students an art historical context in which to place their own discoveries as beginning painters.
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Painting Workshop I

Prereq: 371.131 or permission required. This course offers the fundamentals of oil painting techniques for the serious student with minimal prior studio experience. Observational skills are taught through the extensive use of still-life setups, with particular attention paid to issues of light, color, and composition. Slide lectures and a museum trip give students an art historical context in which to place their own discoveries as beginning painters.
Score: 7.6471314 Details | Listing | Web page

Johns Hopkins University - Still Life/Interior/Landscape

Prereq: 371.131 or Perm. Req’d This intermediate drawing class will examine three grand traditions in representational art. We will explore problems in still life that have occupied artists from Chardin to Morandi; in interiors from Vermeer to Giacometti; in landscape from Corot to Diebenkorn. We will also look at where the boundaries between these genres blur and how they overlap.
Score: 7.6471314 Details | Listing | Web page

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