| These are the links submitted in the past 30 days. |
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Submitted: 08/19/2008
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Experiments with MATLAB
Category:
Academic Curricula>Mathematics
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Update Link / Bad Link
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| Description:
| Experiments with MATLAB by Cleve Moler, chairman and chief scientist at The MathWorks, is an electronic book with chapters that supplement high school and early college courses in mathematics and technical computing, including calculus and matrix theory. The expected background includes algebra, trigonometry, and some familiarity with computers.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| N/A
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| Materials available:
| Downloadable code or data files
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| Products:
| MATLAB
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http://www.mathworks.com/moler/exm/chapters.html
Submitted by Dina Yuryev
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Submitted: 08/19/2008
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Numerical Computing with MATLAB
Category:
Academic Curricula>Mathematics
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Update Link / Bad Link
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| Description:
| Numerical Computing with MATLAB by Cleve Moler, chairman and chief scientist at The MathWorks, is a textbook for an introductory course in numerical methods, MATLAB, and technical computing. It emphasizes the informed use of mathematical software. Topics include matrix computation, interpolation and zero finding, differential equations, random numbers, and Fourier analysis.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| N/A
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| Materials available:
| Downloadable code or data files
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| Products:
| MATLAB
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http://www.mathworks.com/moler/index_ncm.html
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Computational Science with MATLAB
Category:
Academic Curricula>Mathematics
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Update Link / Bad Link
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| Description:
| The objective of this tutorial is to provide the basics of using MATLAB. Topics covered include math functions, plot curves, optimizations, manipulation of vectors and matrices, linear systems, data analysis, loops and conditions, and logical operators. Examples using real world applications, such as the deformation of a system of springs, are provided.
Material created by Professor Marc Buffat.
This course material is in French.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| Claude Bernard University Lyon 1
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| Materials available:
| Problem sets or projects, Primers or tutorials
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| Products:
| MATLAB
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http://ufrmeca.univ-lyon1.fr/%7ebuffat/COURS/MATLAB_HTML/index.php
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Computational Science with MATLAB
Category:
Academic Curricula>Mathematics
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Update Link / Bad Link
|
| Description:
| The objective of this tutorial is to provide the basics of using MATLAB. Topics covered include math functions, plot curves, optimizations, manipulation of vectors and matrices, linear systems, data analysis, loops and conditions, and logical operators. Examples using real world applications, such as the deformation of a system of springs, are provided.
Material created by Professor Marc Buffat.
This course material is in French.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| Claude Bernard University Lyon 1
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| Materials available:
| Problem sets or projects, Primers or tutorials
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| Products:
| MATLAB
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http://ufrmeca.univ-lyon1.fr/%7ebuffat/COURS/MATLAB_HTML/index.php
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Computational Science with MATLAB
Category:
Academic Curricula>Mathematics
|
Update Link / Bad Link
|
| Description:
| The objective of this tutorial is to provide the basics of using MATLAB. Topics covered include math functions, plot curves, optimizations, manipulation of vectors and matrices, linear systems, data analysis, loops and conditions, and logical operators. Examples using real world applications, such as the deformation of a system of springs, are provided.
Material created by Professor Marc Buffat.
This course material is in French.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| Claude Bernard University Lyon 1
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| Materials available:
| Problem sets or projects, Primers or tutorials
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| Products:
| MATLAB
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http://ufrmeca.univ-lyon1.fr/%7ebuffat/COURS/MATLAB_HTML/index.php
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Submitted: 08/18/2008
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Introduction to MATLAB [French]
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
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| Description:
| This tutorial provides an introduction to MATLAB. Topics covered include MATLAB basics, constants, operators, basic functions, vectors, matrices, structures, graphics, images, animations, scripts, and input-output.
Material created by Jean-Daniel Bonjour
This material is in French.
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| Target audience:
| none
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| Institution:
| N/A
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| Materials available:
| Primers or tutorials
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| Products:
| MATLAB
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http://enacit1.epfl.ch/cours_matlab/
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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MATLAB Programming
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
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| Description:
| This online course focuses on the use of MATLAB for solving engineering problems, visualizing concepts, and learning programming. Topics covered include programming basics, 2-D and 3-D graphics, handle graphics, matrices, ordinary and partial differential equations, boudary value problems, and GUI's.
Course material created by Dr. P.Venkataraman.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| Rochester Institute of Technology
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| Materials available:
| Problem sets or projects
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| Products:
| MATLAB
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http://people.rit.edu/~pnveme/Matlab6/index.html
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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MATLAB Tutorial [French]
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
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| Description:
| This is a self-paced MATLAB tutorial designed for students in the Applied Sciences. Topics covered include scripts, functions, matrices, operators, vectors, ODE's, 2-D plots, and polynomials.
Material created by Professor Nicolas Donckers.
This material is in French.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| Catholic University of Leuven
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| Materials available:
| Problem sets or projects, Primers or tutorials
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| Products:
| MATLAB
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http://www.elec.ucl.ac.be/enseignement/ELEC2000/index.php?page=tutmatla
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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MATLAB Tutorial [German]
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
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| Description:
| This tutorial provides an overview of MATLAB. Topics covered include functions, vectors, matrices, strings, cell arrays, structures, graphics, scripts, operators, and applications of MATLAB.
Material created by Professor Dr. Klaus H�llig , Professor Dr. Wolfgang Kimmerle, and Joerg Hoerner.
This material is in German.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| University of Stuttgart
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| Materials available:
| Primers or tutorials
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| Products:
| MATLAB
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http://mo.mathematik.uni-stuttgart.de/kurse/kurs4/
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Numerical Analysis [French]
Category:
Academic Curricula>Mathematics
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Update Link / Bad Link
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| Description:
| This course covers methods of numerical analysis using MATLAB exercises to demonstrate concepts. Topics covered include iterative methods such as Jacobi, Gauss-Seidel, and Laplacien; algorithms; and Krylov subspace methods.
Course material created by Professor Pascal Joly.
This course material is in French.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| Pierre and Marie Curie University
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Downloadable code or data files
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| Products:
| MATLAB
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http://www.ann.jussieu.fr/~joly/matlab.php3
Submitted by Dina Yuryev
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Submitted: 08/18/2008
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Programming in MATLAB [French]
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
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| Description:
| This is a brief tutorial that focuses on basic computer science principles. Topics covered include debugging programs and optimization. Executable files in MATLAB are included.
Material created by Michel Bercovier and Olivier Ricou.
This material is in French.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| N/A
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| Materials available:
| Primers or tutorials
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| Products:
| MATLAB
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http://www.ricou.eu.org/matlab/cours3/index.html
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Chemical Reactor Analysis and Design
Category:
Academic Curricula>Engineering>Chemical Engineering
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Update Link / Bad Link
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| Description:
| This course covers the concepts and the tools used in planning, operating and the design of commercial chemical and biochemical reaction systems for producing fuels, polymers, specialty and consumer products, pharmaceuticals, solid-state devices and other products. The course presents the fundamentals of reaction stoichiometry, reaction analysis, and simple kinetic analysis of homogeneous and heterogeneously catalyzed reactions.
Course material created by Professor John G. Ekerdt.
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| Target audience:
| Graduate
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| Institution:
| University of Texas
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| Materials available:
| Course outline or syllabus, Downloadable code or data files
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| Products:
| MATLAB
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http://www.engr.utexas.edu/che/reactor/
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Computational Economics
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
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| Description:
| This course studies computational approaches for solving economic models. We formulate economic problems in computationally tractable forms, and use numerical analysis techniques to solve them. We will study examples of computational techniques in the current economic literature as well as discuss areas of economic analysis where numerical analysis may be useful in future research of dynamic economic problems. The substantive applications will cover a wide range of problems including public finance, macroeconomics, game theory, mechanism design, finance, industrial organization, agricultural economics, and econometrics.
Course material created by Dr. Kenneth L. Judd.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| Stanford University
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| Materials available:
| Problem sets or projects, Course outline or syllabus
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| Products:
| MATLAB
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http://bucky.stanford.edu/econ418002k4/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Computational Economics
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
|
| Description:
| This course studies computational approaches for solving economic models. We formulate economic problems in computationally tractable forms, and use numerical analysis techniques to solve them. We will study examples of computational techniques in the current economic literature as well as discuss areas of economic analysis where numerical analysis may be useful in future research of dynamic economic problems. The substantive applications will cover a wide range of problems including public finance, macroeconomics, game theory, mechanism design, finance, industrial organization, agricultural economics, and econometrics.
Course material created by Dr. Kenneth L. Judd.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| Stanford University
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| Materials available:
| Problem sets or projects, Course outline or syllabus
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| Products:
| MATLAB
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http://bucky.stanford.edu/econ418002k4/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Computational Methods in Economics
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
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| Description:
| Fundamental methods for formulating and solving economic models will be developed. Emphasis will be on defining the mathematical structure of problems and on practical computer methods for obtaining model solutions. Major topics will include solution of systems of equations, complementarity relationships and optimization. Both finite and infinite dimensional problems will be addressed, the latter through the use of finite dimensional approximation techniques. Particular emphasis will be placed on solving dynamic optimization and equilibrium problems. Applications will be drawn from finance, agricultural and resource economics, macroeconomics and econometrics.
Course material created by Professor Paul L. Fackler.
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| Target audience:
| Graduate
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| Institution:
| North Carolina State University
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
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| Products:
| MATLAB
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http://www4.ncsu.edu/unity/users/p/pfackler/www/ECG790C/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Computational Methods in Economics
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
|
| Description:
| Fundamental methods for formulating and solving economic models will be developed. Emphasis will be on defining the mathematical structure of problems and on practical computer methods for obtaining model solutions. Major topics will include solution of systems of equations, complementarity relationships and optimization. Both finite and infinite dimensional problems will be addressed, the latter through the use of finite dimensional approximation techniques. Particular emphasis will be placed on solving dynamic optimization and equilibrium problems. Applications will be drawn from finance, agricultural and resource economics, macroeconomics and econometrics.
Course material created by Professor Paul L. Fackler.
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| Target audience:
| Graduate
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| Institution:
| North Carolina State University
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
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| Products:
| MATLAB
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http://www4.ncsu.edu/unity/users/p/pfackler/www/ECG790C/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Computational Methods in Geological Sciences
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
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| Description:
| This course covers topics essential to understanding geophysical data processing, many related to time series analysis. These include: data processing concepts; frequency domain methods, the discrete Fourier transform; time domain methods and linear filters; random variables; and least squares.
Course material created by Professor Clark R. Wilson
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| University of Texas
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| Materials available:
| Problem sets or projects, Course outline or syllabus
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| Products:
| MATLAB
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http://www.geo.utexas.edu/courses/325K/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Computational Methods in Geological Sciences
Category:
Academic Curricula>Mathematics>Computational Methods
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Update Link / Bad Link
|
| Description:
| This course covers topics essential to understanding geophysical data processing, many related to time series analysis. These include: data processing concepts; frequency domain methods, the discrete Fourier transform; time domain methods and linear filters; random variables; and least squares.
Course material created by Professor Clark R. Wilson
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| University of Texas
|
| Materials available:
| Problem sets or projects, Course outline or syllabus
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| Products:
| MATLAB
|
http://www.geo.utexas.edu/courses/325K/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 08/06/2008
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Control System Laboratory
Category:
Academic Curricula>Engineering>Aerospace Engineering
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Update Link / Bad Link
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| Description:
| This is a laboratory course designed to illustrate fundamental aspects of dynamics and control. Dynamical modeling includes rigid body rotation, Coulomb friction, viscous friction, saturation, and identification. Controller design includes the proportional integral and derivative (PID) controller, eliminating integral windup, Lead-Lag compensation, pole placement and an introduction to the linear quadratic regulator (LQR) controller.
Course material created by Professor A.E. Frazho.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| Purdue University
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| Materials available:
| Lab materials, Course outline or syllabus
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| Products:
| MATLAB,Simulink
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https://engineering.purdue.edu/AAE/Academics/Courses/Descriptions/AAE364L.html
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Econometrics
Category:
Academic Curricula>Economics and Finance
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Update Link / Bad Link
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| Description:
| This course introduces the econometric analysis of conditional models, focusing on the use of least squares and related methods for estimating conditional expectations, and on linear instrumental variables methods for estimating linear causal relationships.
Course material created by Professor Keisuke Hirano.
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| Target audience:
| Graduate
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| Institution:
| University of Arizona
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| Materials available:
| Problem sets or projects, Course outline or syllabus
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| Products:
| MATLAB
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http://www.u.arizona.edu/%7Ehirano/522A.html
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Introduction to Chemical Process Modeling
Category:
Academic Curricula>Engineering>Chemical Engineering
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Update Link / Bad Link
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| Description:
| This course provides an overview of the chemical engineering curriculum and develops facility with using modern computational software for numerical problem solving. Topics covered include stoichiometry of chemical reactions; diffusion and heat transfer; process systems steady-state modeling and design; chemical kinetics in well-mixed reactors; and estimating paramters from data.
Course material created by the Chemical and Biological Engineering Faculty at the University of Wisconsin.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
|
| Institution:
| University of Wisconsin
|
| Materials available:
| Problem sets or projects, Primers or tutorials, Downloadable code or data files
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| Products:
| MATLAB
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http://cbe255.che.wisc.edu/
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Inverse Methods in Geophysics
Category:
Academic Curricula>Physical Sciences>Geology
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Update Link / Bad Link
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| Description:
| This course focuses on the fundamentals of inverse theory. Emphasis will be on the discrete linear problem, but both nonlinear and continuous inverse problems will be covered.
Course material created by Professor Randall M. Richardson.
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| Target audience:
| Graduate
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| Institution:
| University of Arizona
|
| Materials available:
| Problem sets or projects, Course outline or syllabus
|
| Products:
| MATLAB
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http://www.geo.arizona.edu/geo5xx/geos567/
Submitted by Dina Yuryev
Updated Aug 12, 2008
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Submitted: 08/06/2008
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MATLAB Applications in Chemical Engineering
Category:
Academic Curricula>Engineering>Chemical Engineering
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Update Link / Bad Link
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| Description:
| This guide is a brief introduction to MATLAB in chemical engineering. Topics covered include solving linear equations, numerical integration, symbolic integrations and differentation, and solving differential equations.
Material created by James A. Carnell.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
|
| Institution:
| North Carolina State University
|
| Materials available:
| Primers or tutorials
|
| Products:
| MATLAB
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http://www.che.ncsu.edu/current_students/matlab_che.pdf
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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MATLAB: A Fast Paced Introduction
Category:
Academic Curricula>General Interest>MATLAB Tutorials
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Update Link / Bad Link
|
| Description:
| Topics covered in this tutorial include variables, operators, functions (user defined), program control, if statements, for/while loops, curve fitting, interpolation, differentiation, integration, differential equations, and graphics.
Material created by Dr. P.Venkataraman.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
|
| Institution:
| Rochester Institute of Technology
|
| Materials available:
| Primers or tutorials
|
| Products:
| MATLAB
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http://people.rit.edu/pnveme/Matlab_Course/DEFAULT.HTM
Submitted by Dina Yuryev
Updated Aug 12, 2008
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Submitted: 08/06/2008
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Optimal Estimation
Category:
Academic Curricula>Mathematics
|
Update Link / Bad Link
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| Description:
| The purpose of this course is to provide a firm background in the mathematical basis of parameter and state estimation.
Topics covered include unbiased minimum variance and best linear unbiased estimation; recursive least squares algorithm; Asymptotic properties of estimators - unbiasedness and consistency; Cramer-Rao lower bound; optimization in Hilbert spaces and the projection theorem; state estimation; the discrete time Kalman Filter; Extended Kalman Filter; and discrete time prediction and smoothing.
Course material created by Dr. Prabir Barooah.
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| Target audience:
| Graduate
|
| Institution:
| University of Florida
|
| Materials available:
| Problem sets or projects, Course outline or syllabus
|
| Products:
| MATLAB
|
http://humdoi.mae.ufl.edu/%7Eprabirbarooah/EGM6934S08.html
Submitted by Dina Yuryev
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Submitted: 08/06/2008
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Probability and Statistical Inference
Category:
Academic Curricula>Probability and Statistics
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Update Link / Bad Link
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| Description:
| In this course we apply the mathematical techniques of probability to estimation and hypothesis testing, the formal methods by which we learn from noisy data, random samples, and other such uncertain real-world measurements. We culminate with linear regression, and introduce the powerful framework of Bayesian inference.
Course material created by Professor Alex Barnett.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| Dartmouth College
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
|
| Products:
| MATLAB
|
http://www.math.dartmouth.edu/archive/m50w06/public_html/
Submitted by Dina Yuryev
Updated Aug 12, 2008
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Submitted: 07/30/2008
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Analytical and Computational Methods in Electrical Engineering
Category:
Academic Curricula>Engineering>Electrical Engineering
|
Update Link / Bad Link
|
| Description:
| This course will provide extensive coverage of numerical linear algebra, focusing on algorithms and capabilities that are incorporated into MATLAB. Applications of the material will be given in the areas of image compression, the least squares fit of a line to a data set, and n-port electrical networks.
Course material created by Dr. John L. Stensby.
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| Target audience:
| Graduate
|
| Institution:
| The University of Alabama in Huntsville
|
| Materials available:
| Course outline or syllabus
|
| Products:
| MATLAB
|
http://www.ece.uah.edu/courses/ee448/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 07/30/2008
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Analytical and Computational Methods in Electrical Engineering
Category:
Academic Curricula>Engineering>Electrical Engineering
|
Update Link / Bad Link
|
| Description:
| This course will provide extensive coverage of numerical linear algebra, focusing on algorithms and capabilities that are incorporated into MATLAB. Applications of the material will be given in the areas of image compression, the least squares fit of a line to a data set, and n-port electrical networks.
Course material created by Dr. John L. Stensby.
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| Target audience:
| Graduate
|
| Institution:
| The University of Alabama in Huntsville
|
| Materials available:
| Course outline or syllabus
|
| Products:
| MATLAB
|
http://www.ece.uah.edu/courses/ee448/
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 07/30/2008
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Applied Linear Algebra and Introductory Numerical Methods
Category:
Academic Curricula>Mathematics>Linear Algebra
|
Update Link / Bad Link
|
| Description:
| This course is an introductory graduate level course in numerical methods designed to give engineering, mathematics, and science students the expertise necessary to understand and use computational methods for solving scientific problems. The emphasis is on methods for linear algebra problems (direct methods for linear systems, linear least squares problems, algebraic eigenvalue problems) and methods for ordinary differential equations (the initial value problem).
Course material created by Professor Loyce Adams.
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| Target audience:
| Graduate
|
| Institution:
| University of Washington
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
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| Products:
| MATLAB
|
http://www.amath.washington.edu/courses/584-autumn-2005/#grades
Submitted by Dina Yuryev
Updated Aug 13, 2008
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Submitted: 07/30/2008
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Applied Numerical Methods in Economics
Category:
Academic Curricula>Economics and Finance
|
Update Link / Bad Link
|
| Description:
| This course focuses on endowing students with the knowledge of a set of numerical techniques commonly used to solve the mathematical problems that typically arise in economic problems. Topics covered include systems of linear equations, non-linear equations, finite dimensional optimization, numerical integration, numerical differentiation, initial value problems, and interpolation.
Course material created by Professor P. Marcelo Oviedo.
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| Target audience:
| Graduate
|
| Institution:
| Iowa State University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
|
| Products:
| MATLAB
|
http://www.econ.iastate.edu/classes/econ509/Oviedo/
Submitted by Dina Yuryev
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Submitted: 07/30/2008
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Computational Finance Lab
Category:
Academic Curricula>Economics and Finance
|
Update Link / Bad Link
|
| Description:
| This lab course provides instruction on using MATLAB, GAMS and other optimization software as a complement to finance and risk engineering courses.
Course material created by Professor K. Ming Leung.
|
| Target audience:
| Graduate
|
| Institution:
| Polytechnic Institute of NYU
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| Materials available:
| Course outline or syllabus, Textbook recommendations, Downloadable code or data files
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| Products:
| MATLAB
|
http://cis.poly.edu/~mleung/FRE6831/s08/FRE6831s08.htm
Submitted by Dina Yuryev
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Submitted: 07/30/2008
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Computational Science and Engineering I
Category:
Academic Curricula>Mathematics>Computational Methods
|
Update Link / Bad Link
|
| Description:
| This course provides a review of linear algebra, including applications to networks, structures, and estimation. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
Course material created by Professor Gilbert Strang.
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| Target audience:
| Graduate
|
| Institution:
| Massachusetts Institute of Technology
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://ocw.mit.edu/OcwWeb/Mathematics/18-085Fall-2007/CourseHome/index.htm
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
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Submitted: 07/30/2008
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Computational Science and Engineering I
Category:
Academic Curricula>Mathematics>Computational Methods
|
Update Link / Bad Link
|
| Description:
| This course provides a review of linear algebra, including applications to networks, structures, and estimation. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
Course material created by Professor Gilbert Strang.
|
| Target audience:
| Graduate
|
| Institution:
| Massachusetts Institute of Technology
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://ocw.mit.edu/OcwWeb/Mathematics/18-085Fall-2007/CourseHome/index.htm
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Design Methods for Control Systems
Category:
Academic Curricula>Engineering>Mechanical Engineering>Control Systems
|
Update Link / Bad Link
|
| Description:
| The aim of this course is to present an overview of several important design techniques for linear control systems. Topics covered include: feedback control theory; classical and multivariable control system design; uncertainty models and robustness; and H-Optimization and m-synthesis.
Course material created by Maarten Steinbuch, Gjerrit Meinsma, Okko H. Bosgra, and Huibert Kwakernaak.
|
| Target audience:
| Graduate
|
| Institution:
| Dutch Institute of Systems and Control
|
| Materials available:
| Problem sets or projects, Course outline or syllabus
|
| Products:
| MATLAB,Control System Toolbox,Robust Control Toolbox
|
http://wwwhome.math.utwente.nl/~meinsmag/courses/dmcs/#Lecturers
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Design Methods for Control Systems
Category:
Academic Curricula>Engineering>Mechanical Engineering>Control Systems
|
Update Link / Bad Link
|
| Description:
| The aim of this course is to present an overview of several important design techniques for linear control systems. Topics covered include: feedback control theory; classical and multivariable control system design; uncertainty models and robustness; and H-Optimization and m-synthesis.
Course material created by Maarten Steinbuch, Gjerrit Meinsma, Okko H. Bosgra, and Huibert Kwakernaak.
|
| Target audience:
| Graduate
|
| Institution:
| Dutch Institute of Systems and Control
|
| Materials available:
| Problem sets or projects, Course outline or syllabus
|
| Products:
| MATLAB,Control System Toolbox,Robust Control Toolbox
|
http://wwwhome.math.utwente.nl/~meinsmag/courses/dmcs/#Lecturers
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Image Processing
Category:
Academic Curricula>Computer Science
|
Update Link / Bad Link
|
| Description:
| The aim of this course is to introduce the techniques of image analysis, modeling, enhancement, transmission, and coding. Topics covered include: digital image processing, image presentation, signals in 2 or more dimensions, image formats, image histograms, image modeling, and enhancement/segmentation/classification.
Course material created by Dr. Katia Lebart and Dr. Yvan Petillot.
|
| Target audience:
| Graduate
|
| Institution:
| Heriot-Watt University
|
| Materials available:
| Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://emfs1.eps.hw.ac.uk/~ceeyrp/WWW/Teaching/B39SD2/B39SD2.html
Submitted by Dina Yuryev
|
|
|
Submitted: 07/30/2008
|
Introduction to Applied Scientific Computing with MATLAB
Category:
Academic Curricula>Computer Science
|
Update Link / Bad Link
|
| Description:
| This course will introduce the basic syntax and features of MATLAB and will develop the background necessary for more specialized courses. Topics covered include basic MATLAB programming and vectorized operations, data input/output, and simple visualization. The course will emphasize applied issues such as managing large data sets, simulation, and visualization, but will also introduce fundamental ideas in scientific computing such as floating point arithmetic and algorithm efficiency.
Course material created by Professor Andrew J. Pershing.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| Cornell University
|
| Materials available:
| Presentations, Course outline or syllabus, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.cs.cornell.edu/Courses/cs401/2003fa/
Submitted by Dina Yuryev
|
|
|
Submitted: 07/30/2008
|
Introduction to Computational Biology and Chemistry
Category:
Academic Curricula>Physical Sciences>Biology
|
Update Link / Bad Link
|
| Description:
| This course explores models that arise in biology and chemistry and how they're analyzed using modern mathematical and computational techniques. Topics covered are statistical models, discrete- and continuous- time dynamical models, and stochastic models. Applications will sample a wide range of scales, from biomolecules to population dynamics, with an emphasis on common mathematical concepts and computational techniques. Throughout, themes will include interpretation of existing data and predictions for new experiments.
Course material created by Professor Eric Shea-Brown.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| University of Washington
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.amath.washington.edu/courses/410-winter-2008/#description
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Introduction to Computational Biology and Chemistry
Category:
Academic Curricula>Physical Sciences>Biology
|
Update Link / Bad Link
|
| Description:
| This course explores models that arise in biology and chemistry and how they're analyzed using modern mathematical and computational techniques. Topics covered are statistical models, discrete- and continuous- time dynamical models, and stochastic models. Applications will sample a wide range of scales, from biomolecules to population dynamics, with an emphasis on common mathematical concepts and computational techniques. Throughout, themes will include interpretation of existing data and predictions for new experiments.
Course material created by Professor Eric Shea-Brown.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| University of Washington
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.amath.washington.edu/courses/410-winter-2008/#description
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Introduction to Computational Biology and Chemistry
Category:
Academic Curricula>Physical Sciences>Biology
|
Update Link / Bad Link
|
| Description:
| This course explores models that arise in biology and chemistry and how they're analyzed using modern mathematical and computational techniques. Topics covered are statistical models, discrete- and continuous- time dynamical models, and stochastic models. Applications will sample a wide range of scales, from biomolecules to population dynamics, with an emphasis on common mathematical concepts and computational techniques. Throughout, themes will include interpretation of existing data and predictions for new experiments.
Course material created by Professor Eric Shea-Brown.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| University of Washington
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.amath.washington.edu/courses/410-winter-2008/#description
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Introduction to Computational Neuroscience
Category:
Academic Curricula>Mathematics>Computational Methods
|
Update Link / Bad Link
|
| Description:
| This course focuses on mathematical concepts and techniques used in computational neuroscience. It is designed to provide students with necessary mathematical background for formulating, simulating, and analyzing models of individual neurons and neural networks. The course will serve as an introduction to the theory of nonlinear differential equations and applied dynamical systems in the context of neuronal modeling. The topics to be covered include a review of basic facts about the electrophysiology of neural cells, analysis of the conductance based models, neural excitability, bursting, models for synaptically coupled cells, and compartmental models, as well as a number of mathematical techniques such as phase plane analysis, fast-slow decomposition, and elements of the bifurcation theory. The students will learn basic models of excitable membranes such as Hodgkin-Huxley, Morris-Lecar, and FitzHugh-Nagumo models.
Course material created by Professor Georgi Medvedev.
|
| Target audience:
| Graduate
|
| Institution:
| Drexel University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.math.drexel.edu/~medvedev/classes/2005/math680/
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
|
|
Submitted: 07/30/2008
|
Introduction to Computational Neuroscience
Category:
Academic Curricula>Mathematics>Computational Methods
|
Update Link / Bad Link
|
| Description:
| This course focuses on mathematical concepts and techniques used in computational neuroscience. It is designed to provide students with necessary mathematical background for formulating, simulating, and analyzing models of individual neurons and neural networks. The course will serve as an introduction to the theory of nonlinear differential equations and applied dynamical systems in the context of neuronal modeling. The topics to be covered include a review of basic facts about the electrophysiology of neural cells, analysis of the conductance based models, neural excitability, bursting, models for synaptically coupled cells, and compartmental models, as well as a number of mathematical techniques such as phase plane analysis, fast-slow decomposition, and elements of the bifurcation theory. The students will learn basic models of excitable membranes such as Hodgkin-Huxley, Morris-Lecar, and FitzHugh-Nagumo models.
Course material created by Professor Georgi Medvedev.
|
| Target audience:
| Graduate
|
| Institution:
| Drexel University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.math.drexel.edu/~medvedev/classes/2005/math680/
Submitted by Dina Yuryev
Updated Aug 13, 2008
|
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|
Submitted: 07/30/2008
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Submitted: 07/30/2008
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Submitted: 07/30/2008
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Submitted: 07/30/2008
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Submitted: 07/30/2008
|
Mechanics of Growth
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course addresses the phenomenon of growth on a theoretical and computational level and applies the resulting theories to classical biomechanical problems like bone remodeling, hip replacement, wound healing, atherosclerosis or in stent restenosis. This course will illustrate how classical engineering concepts like continuum mechanics, thermodynamics or finite element modeling have to be rephrased in the context of growth.
Course material created by Professor Ellen Kuhul.
|
| Target audience:
| Graduate
|
| Institution:
| Stanford University
|
| Materials available:
| Problem sets or projects, Presentations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://biomechanics.stanford.edu/Mechanics_of_growth
Submitted by Dina Yuryev
|
|
|
Submitted: 07/30/2008
|
Mechanics of Growth
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course addresses the phenomenon of growth on a theoretical and computational level and applies the resulting theories to classical biomechanical problems like bone remodeling, hip replacement, wound healing, atherosclerosis or in stent restenosis. This course will illustrate how classical engineering concepts like continuum mechanics, thermodynamics or finite element modeling have to be rephrased in the context of growth.
Course material created by Professor Ellen Kuhul.
|
| Target audience:
| Graduate
|
| Institution:
| Stanford University
|
| Materials available:
| Problem sets or projects, Presentations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://biomechanics.stanford.edu/Mechanics_of_growth
Submitted by Dina Yuryev
|
|
|
Submitted: 07/30/2008
|
Numerical Methods with MATLAB: Implementations and Applications
Category:
Academic Curricula>Mathematics
|
Update Link / Bad Link
|
| Description:
| Study guides, lecture slides, and worksheets are available to support students and instructors using the textbook "Numerical Methods with MATLAB: implementations and Applications."
Course material created by Professor Gerald Recktenwald.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| N/A
|
| Materials available:
| Problem sets or projects, Presentations, Textbook recommendations
|
| Products:
| MATLAB
|
http://web.cecs.pdx.edu/~gerry/nmm/course/
Submitted by Dina Yuryev
|
|
|
Submitted: 07/30/2008
|
Optimization Models in Computational Biology
Category:
Academic Curricula>Physical Sciences>Biology
|
Update Link / Bad Link
|
| Description:
| This course will introduce a series of optimization models that find applications to various problems in bioinformatics and computational biology. The basics of the following topics will be covered: dynamic programming; graph algorithms (paths and flows); clustering and trees; linear, non-linear, and integer programming (including convex polytopes); certain probabilistic models; and very limited algebraic statistics. The applications of these optimization models to bioinformatics and computational biology will be illustrated by studying problems such as sequence motif search, DNA sequence alignment (including parametric sequence alignment), recombinations and other related phylogenetic problems, protein sequencing, and protein structure prediction (including side-chain positioning, scoring functions for threading, molecular dynamics etc.).
Course material created by Professor Bala Krishnamoorthy.
|
| Target audience:
| Graduate
|
| Institution:
| Washington State University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
|
| Products:
| MATLAB
|
http://www.math.wsu.edu/math/faculty/bkrishna/Math574_S08.html
Submitted by Dina Yuryev
Updated Aug 12, 2008
|
|
|
Submitted: 07/30/2008
|
Optimization Models in Computational Biology
Category:
Academic Curricula>Physical Sciences>Biology
|
Update Link / Bad Link
|
| Description:
| This course will introduce a series of optimization models that find applications to various problems in bioinformatics and computational biology. The basics of the following topics will be covered: dynamic programming; graph algorithms (paths and flows); clustering and trees; linear, non-linear, and integer programming (including convex polytopes); certain probabilistic models; and very limited algebraic statistics. The applications of these optimization models to bioinformatics and computational biology will be illustrated by studying problems such as sequence motif search, DNA sequence alignment (including parametric sequence alignment), recombinations and other related phylogenetic problems, protein sequencing, and protein structure prediction (including side-chain positioning, scoring functions for threading, molecular dynamics etc.).
Course material created by Professor Bala Krishnamoorthy.
|
| Target audience:
| Graduate
|
| Institution:
| Washington State University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations
|
| Products:
| MATLAB
|
http://www.math.wsu.edu/math/faculty/bkrishna/Math574_S08.html
Submitted by Dina Yuryev
Updated Aug 12, 2008
|
|
|
Submitted: 07/23/2008
|
Advanced Structural Analysis
Category:
Academic Curricula>Engineering>Civil Engineering
|
Update Link / Bad Link
|
| Description:
| Topics covered in this course include: structural idealization, structural behavior, equations of mechanics (equilibrium, compatibility and constitutive relations), the stiffness approach to indeterminate analysis, solution of trusses and frames by the direct stiffness method, and nonlinear analysis of frames. The final objective is for the students to perform a thorough and deatailed structural analysis of a realistic structure which might be encountered in professional practice.
Course material created by Professor Sanjay Arwade.
|
| Target audience:
| Graduate
|
| Institution:
| The Johns Hopkins University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.ce.jhu.edu/sarwade/courses/adv-str-an.html
Submitted by Dina Yuryev
|
|
|
Submitted: 07/23/2008
|
Biomechanics of Human Motion
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course provides an overview of human skeletal and muscular anatomy and physiology. Concepts of engineering mechanics are applied to the human musculoskeletal system. Topics covered include: kinematics, statics, dynamics of human motions, and human motion metrology.
Note: follow the link provided on the syllabus to course notes, matlab assignments, and lab exercises.
Course material created by Professor Robert L. Williams II, Ph.D.
|
| Target audience:
| Senior undergraduate(4th year) and graduate
|
| Institution:
| Ohio University
|
| Materials available:
| Problem sets or projects, Lab materials, Course outline or syllabus
|
| Products:
| MATLAB
|
http://www.ent.ohiou.edu/~bobw/PDF/Syllabus467.pdf
Submitted by Dina Yuryev
Updated Jul 29, 2008
|
|
|
Submitted: 07/23/2008
|
Biomechanics of Human Motion
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course provides an overview of human skeletal and muscular anatomy and physiology. Concepts of engineering mechanics are applied to the human musculoskeletal system. Topics covered include: kinematics, statics, dynamics of human motions, and human motion metrology.
Note: follow the link provided on the syllabus to course notes, matlab assignments, and lab exercises.
Course material created by Professor Robert L. Williams II, Ph.D.
|
| Target audience:
| Senior undergraduate(4th year) and graduate
|
| Institution:
| Ohio University
|
| Materials available:
| Problem sets or projects, Lab materials, Course outline or syllabus
|
| Products:
| MATLAB
|
http://www.ent.ohiou.edu/~bobw/PDF/Syllabus467.pdf
Submitted by Dina Yuryev
Updated Jul 29, 2008
|
|
|
Submitted: 07/23/2008
|
Modeling and Simulation of Natural and Engineered Systems
Category:
Academic Curricula>General Interest
|
Update Link / Bad Link
|
| Description:
| The objective of this course is to introduce students to the mathematics and modeling tools necessary to analyze and simulate natural and engineered systems. The course includes three broad areas of modeling and analysis: that of stationary processes, linear dynamic systems and neural networks. Topics include modeling time series with ARIMA models, applications of artificial neural networks, building state space models for dynamic systems, and performing sensitivity and stability analyses.
Course material created by Professor Judith Cardell.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| Smith College
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.science.smith.edu/~jcardell/Courses/EGR301/index.html
Submitted by Dina Yuryev
|
|
|
Submitted: 07/23/2008
|
Numerical Methods for Civil and Mechanical Engineers
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course explores the fundamentals of numerical methods for civil and mechanical engineering students. Topics include: approximation and interpolation, numerical solutions to equations, numerical differentiation and integration, numerical solutions to differential equations, solutions of systems of equations, and finding eigenvalues. The topics will be posed in a setting of problems intended for civil and mechanical engineering students using MATLAB.
Course material created by Professor Martin J. Mohlenkamp.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| Ohio University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.math.ohiou.edu/~mjm/20072/344/
Submitted by Dina Yuryev
|
|
|
Submitted: 07/23/2008
|
Numerical Methods for Civil and Mechanical Engineers
Category:
Academic Curricula>Engineering>Mechanical Engineering
|
Update Link / Bad Link
|
| Description:
| This course explores the fundamentals of numerical methods for civil and mechanical engineering students. Topics include: approximation and interpolation, numerical solutions to equations, numerical differentiation and integration, numerical solutions to differential equations, solutions of systems of equations, and finding eigenvalues. The topics will be posed in a setting of problems intended for civil and mechanical engineering students using MATLAB.
Course material created by Professor Martin J. Mohlenkamp.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| Ohio University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.math.ohiou.edu/~mjm/20072/344/
Submitted by Dina Yuryev
|
|
|
Submitted: 07/23/2008
|
Structural Geology
Category:
Academic Curricula>Physical Sciences>Geology
|
Update Link / Bad Link
|
| Description:
| This class deals with ways to recognize and characterize major structures in the earth's crust and ways to gain insight into how these structures form. It also explores techniques for determining the sequence in which structures form. Geometric and timesequence information is integrated with fundamental material in mathematics and physics to introduce students to how the earth's crust can be viewed as a mechanical system. The class will focus on macroscopic structures but will also introduce students to some of the fascinating structures that form at the microscopic scale.
Course material created by Professor Steve Martel.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| University of Hawai'i at Manoa
|
| Materials available:
| Lab materials, Course outline or syllabus
|
| Products:
| MATLAB
|
http://www.soest.hawaii.edu/martel/Courses/GG303/
Submitted by Dina Yuryev
Updated Aug 12, 2008
|
|
|
Submitted: 07/22/2008
|
Applications of Physics to the Earth Sciences
Category:
Academic Curricula>Physical Sciences>Physics
|
Update Link / Bad Link
|
| Description:
| This is an intermediate course in the application of the basic principles of classical physics to the earth sciences. Topics will be selected from: mechanics of rotating bodies, the two-body problem, tidal theory, oscillations and normal modes, diffusion and heat transfer, wave propagation, electro- and magneto-statics, Maxwell's equations, and elements of statistical and fluid mechanics.
Course material created by Professor Mike Brown.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| California Institute of Technology
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.gps.caltech.edu/~mbrown/classes/ge108/?downloadURL=true&loId=B62EC542-BC79-4A00-83F7-0F0F69B6A693
Submitted by Dina Yuryev
Updated Aug 12, 2008
|
|
|
Submitted: 07/22/2008
|
Bioengineering Signals and Systems
Category:
Academic Curricula>Engineering>Biomedical Engineering
|
Update Link / Bad Link
|
| Description:
| This course introduces a broad range of bioengineering systems and applications. Emphasis will be place on bioelectric phenomena (electrical propagation in cardiac muscle and signaling in the brain) and biomedical instrumentation and measurement. Other topics include modeling disease propagation and the application of techniques for control or eradication of infection agents.
Course material created by Professor Michael Small.
|
| Target audience:
| Advanced undergraduate (3rd or 4th year)
|
| Institution:
| The Hong Kong Polytechnic University
|
| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
|
| Products:
| MATLAB
|
http://www.eie.polyu.edu.hk/~ensmall/eie448/EIE448/BSS.html
Submitted by Dina Yuryev
|
|
|
Submitted: 07/22/2008
|
| |
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