distributions
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Biased random walks, distributions
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Normal, uniform, and exponential distributions; misuse of statistics
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Standard distribution, binomial distribution, two random variables.
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Note: This course is being offered this summer by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. To...more
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Continuous random variables, exponential distribution.
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Multivariable distribution, binomial distribution, Bernoulli trials, geometric distributions.
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Professor Sylvia Ceyer focuses on p-orbitals, describing nodal planes, angular nodes, and radial probability distributions. The conversation continues forward to wavefunctions for multielectron atoms, beginning with an explanation of electron configuration. The Pauli and spin exclusion principle is covered, and the lecture concludes with a discussion of one electron wavefunctions for multielectron atoms.
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This is a math course aimed at students with life science majors covering elementary probability, probability distributions, random variables, and limit theorems.
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Poisson distribution, poisson processes.
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Normal distribution.
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Nomal distribution continued.
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Poisson distribution, continuous trials, poisson processes.
