Science Postgraduate Degrees in the USA

...In this course, we study elliptic Partial Differential Equations (PDEs) with variable coefficients building up to the minimal surface equation...

...This course covers topics such as sums of independent random variables, central limit phenomena, infinitely divisible laws, Levy processes, Brownian motion...

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...but students had to do as many as they could on their own. The following topics were covered in detail: Complex Variables with Applications (18... Learn about: GCSE Mathematics...

...This course emphasizes concepts and techniques for solving integral equations from an applied mathematics perspective. Material is selected from the following topics...

...electrical and mechanical engineering, materials science, quantum mechanics, etc. Differential Equations (18.03 or 18.034); Complex Variables with Applications (18... Learn about: Fluid Dynamics, Mechanical Engineering...

...ISBN: 0486435962. Jukna, S. Extremal Combinatorics. New York, NY: Springer-Verlag, Berlin, 2000. ISBN: 3540663134. There are eight problem...

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...3 sessions / week, 1 hour / session A good background in undergraduate algebra such as Algebra I (18.701) and Algebra II (18.702). Homework will be...

...There will be occasional problem sets and an oral presentation of a good (landmark, foundational) paper from the literature. The presentations will... Learn about: GCSE Mathematics...

...No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates. Knowledge is your reward... Learn about: Fluid Dynamics, GCSE Mathematics...

...General Solution of Burgers Equation Concentration-dependent Diffusion, Chemical Potential. Rechargeable Batteries, Steric Effects Probability Generating...

...Drops, Bubbles, Pearls, Waves. Springer, 2003. ISBN: 9780387005928. A readable and accessible treatment of a wide range of capillary phenomena... Learn about: Fluid Mechanics...

...before you discuss a homework problem with a classmate or look for related information in some reference, you are expected to first make a solid effort at it on your... Learn about: GCSE Physics, GCSE Mathematics...

...worst-case and so developing an algorithmic theory is about (1) choosing the right models in which to study these problems and (2) developing the appropriate...

...of required problems will be specified more precisely. I would like to have scribes for every lectures. Each student should do his/her fair share of these...

...performance of an algorithm under slight random perturbations of those inputs. This is the intersection of Shannon Theory (PDF) with Analysis of Algorithms...

...Learn more at Get Started with MIT OpenCourseWare... Learn about: Molecular Biology...

...(ideal but not required): Theory of Probability (18.175) and either Statistical Learning Theory and Applications (9.520) or Machine Learning (6...

...This course is an introduction to Markov chains, random walks, martingales, and Galton-Watsom tree. The course requires basic knowledge in probability...