36-625 Probability and Mathematical Statistics I

Units: 12.0 Department: Statistics Prerequisites: 21-118 or 21-122 or 21-123 or 21-256 Related URLs: http://www.stat.cmu.edu/www/cmu-stats/ This course is a fast-paced, rigorous introduction to the mathematical theory of probability, and statistical inference. It is ideal for students who want a crash-course in probability and mathematical statistics. A good working knowledge of calculus and basic linear algebra is required. Topics include sample spaces, probability, conditional probability, generating functions, sampling distributions, law of large numbers, the central limit theorem, maximum likelihood, the bootstrap, hypothesis testing, Bayesian inference, decision theory. Students studying Computer Science, or considering graduate work in Statistics or Operations Research, should carefully consider taking this course instead of 36-225 after consultation with their advisor. Not open to students who have received credit for 36-217 or 36-225.

Popularity index Rank for this semester: #0 Rank in this department: #0   Students also scheduled 21-127 Concepts of Mathematics 80-100 What Philosophy Is 21-295 Putnam Seminar 21-441 Number Theory 33-112 Physics II for Science Students 33-107 Physics II for Engineering Students 18-240 Fundamentals of Computer Engineerin... 21-259 Calculus in Three Dimensions 36-217 Probability Theory and Random Proce... 15-113 Systems Skills in C

Spring 2005 times

No sections available for semester Spring 2005.