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Natural Sciences
| Optical Bench |
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| Description:
| This set of files makes up a flexible optical raytracer. It models refraction, attenuation and aberrations through optical systems built by lenses, apertures, prisms, grids and slits. It is equipped to handle interference and could be extended to take diffraction into account.
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| Target audience:
| Graduate
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| Academic institution:
| Ttromsų University
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| Materials available:
| Downloadable code/data files
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| Products:
| MATLAB
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Submitted: Jul 09, 2008
Rating: 0.00 Rate this linkTotal Visits: 41
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| Computational Physics |
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| Description:
| The goal of this course is to introduce students to computational methods for simulating physical systems and solving problems arising in physics and astronomy, as well as in other related fields. Students carry out their work primarily using the MATLAB computing language. The emphasis of the course will be on using computational methods to solve physical problems that cannot be handled analytically.
Topics covered include interpolation, numerical integration, random numbers and random processes, differential equations, and partial differential equations.
Course material created by Pete Schloerb and Min Yun.
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| Target audience:
| Introductory undergraduate (1st or 2nd year)
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| Institution:
| University of Massachusetts
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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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Submitted: Jul 22, 2008
Rating: 0.00 Rate this linkTotal Visits: 23
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| Introduction to Computer Techniques in Physics |
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| Description:
| This course provides an introduction to the use of computers in physics based on examples from mechanics and astronomy. Topics covered include computers and networking; numerical analysis in algebraic systems and approximations; numerical analysis in differential and integral calculus; data analysis and visualization; and scientific computing tools.
Course material created by Professor J.C Evans.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| George Mason University
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
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| Products:
| MATLAB
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Submitted: Jul 22, 2008
Rating: 0.00 Rate this linkTotal Visits: 21
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| Applications of Physics to the Earth Sciences |
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| 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.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| California Institute of Technology
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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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Submitted: Jul 22, 2008
Rating: 0.00 Rate this linkTotal Visits: 16
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| Systems Biology |
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| Description:
| This course introduces the mathematical modeling techniques needed to address key questions in modern biology. An overview of modeling techniques in molecular biology and genetics, cell biology and developmental biology is covered. Key experiments that validate mathematical models are also discussed, as well as molecular, cellular, and developmental systems biology, bacterial chemotaxis, genetic oscillators, control theory and genetic networks, and gradient sensing systems. Additional specific topics include: constructing and modeling of genetic networks, lambda phage as a genetic switch, synthetic genetic switches, circadian rhythms, reaction diffusion equations, local activation and global inhibition models, center finding networks, general pattern formation models, modeling cell-cell communication, quorum sensing, and finally, models for Drosophila development.
Course material created by Professor Alexander van Oudenaarden.
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| Target audience:
| Graduate
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| Institution:
| Massachusetts Institute of Technology
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
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| Products:
| MATLAB
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Submitted: Jul 22, 2008
Rating: 0.00 Rate this linkTotal Visits: 13
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| Introduction to Computational Biology and Chemistry |
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| 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.
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| Target audience:
| Advanced undergraduate (3rd or 4th year)
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| Institution:
| University of Washington
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| Materials available:
| Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
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| Products:
| MATLAB
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Submitted: Jul 30, 2008
Rating: 0.00 Rate this linkTotal Visits: 6
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| Optimization Models in Computational Biology |
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| 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.
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| Target audience:
| Graduate
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| Institution:
| Washington 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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Submitted: Jul 30, 2008
Rating: 0.00 Rate this linkTotal Visits: 5
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