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Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 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: 6.7114224 Details | Listing | Web page
Not Available
Score: 6.7114224 Details | Listing | Web page
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: 6.7114224 Details | Listing | Web page
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: 6.7114224 Details | Listing | Web page
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