From 62f4dc05333d9829aec3163065d97b19d636a51e Mon Sep 17 00:00:00 2001 From: rachelslaybaugh Date: Wed, 16 Aug 2017 16:43:59 -0700 Subject: [PATCH] removed stat stuff; most people don't do that, so it looks less overwhelming with a shorter list. --- general-resources/courses.md | 53 ------------------------------------ 1 file changed, 53 deletions(-) diff --git a/general-resources/courses.md b/general-resources/courses.md index b48469c..e2f862d 100644 --- a/general-resources/courses.md +++ b/general-resources/courses.md @@ -163,58 +163,5 @@ this course, since there is a fair amount of overlap, with the graduate course focusing more on understanding the method and the undergraduate course more on using FEM software (COMSOL) for a larger variety of applications. - -## Statistics for Monte Carlo (Math) -- C281A: Probability Theory -The course is designed as a sequence with Statistics C205B/Mathematics C218B -with the following combined syllabus. Measure theory concepts needed for -probability. Expection, distributions. Laws of large numbers and central limit -theorems for independent random variables. Characteristic function methods. -Conditional expectations, martingales and martingale convergence theorems. -Markov chains. Stationary processes. Brownian motion. Also listed as Statistics -C205A. - -- C223A/B: Advanced Topics in Probability and Stochastic Processes -The topics of this course change each semester, and multiple sections may be -offered. Advanced topics in probabilty offered according to students demand and -faculty availability. Also listed as Statistics C206A. - - -## Statistics (stat) - -### Probably Useful -+ 150: Stochastic Processes -Random walks, discrete time Markov chains, Poisson processes. Further topics -such as: continuous time Markov chains, queueing theory, point processes, -branching processes, renewal theory, stationary processes, Gaussian processes. - -+ 157: Seminar on Topics in Probability and Statistics: Reproducible and -Collaborative Data Science -Substantial student participation required. The topics to be covered each -semester that the course may be offered will be announced by the middle of the -preceding semester; see departmental bulletins. Recent topics include: Bayesian -statistics, statistics and finance, random matrix theory, high-dimensional -statistics. - -### Possibly Useful -- 20: Introduction to Probability and Statistics -For students with mathematical background who wish to acquire basic concepts. -Relative frequencies, discrete probability, random variables, expectation. -Testing hypotheses. Estimation. Illustrations from various fields. - -- 134: Concepts of Probability -An introduction to probability, emphasizing concepts and applications. -Conditional expectation, independence, laws of large numbers. Discrete and -continuous random variables. Central limit theorem. Selected topics such as the -Poisson process, Markov chains, characteristic functions. - -- C206B: Advanced Topics in Probability and Stochastic Processes -We will cover a range of topics in modern discrete probability structured -around 3-5 week modules on some of the following topics (percolation, random -graphs, mixing times/Markov chains, spin systems, concentration -inequalities/large deviations, random walks in random environments, random -constrain satisfaction problems) - the exact choice will depend on student -interests. - ## Writing - GSPDP 320