Prerequisite(s): STA131B; STA237A; or the equivalent of STA131B. UC Davis Peter Hall Conference: Advances in Statistical Data Science. Title: Mathematical Statistics I Statistical methods. STA 130A Mathematical Statistics: Brief Course (Fall 2016) STA 131A Introduction to Probability Theory (Fall 2017) STA 135 Multivariate Data Analysis (Spring 2016, Spring 2017, Spring 2018, Winter 2019, Spring 2019, Winter 2020, Spring 2020, Winter 2021) ECS 232: Theory of Molecular Computation | Computer Science Prerequisite(s): STA141B C- or better or (STA141A C- or better, (ECS 010 C- or better or ECS032A C- or better)). Analysis of incomplete tables. @tG 0e&N,2@'7V:98-(sU|[ *e$k8 N4i|CS9,w"YrIiWP6s%u Copyright The Regents of the University of California, Davis campus. Course Description: Special topics in Statistics appropriate for study at the graduate level. Prerequisite(s): MAT016B C- or better or MAT017B C- or better or MAT021B C- or better. Chi square and Kolmogorov-Smirnov tests. Please be sure to check the minor declaration deadline with your College. The computational component has some overlap with STA 141B, where the emphasis is more on data visualization and data preprocessing. Course Description: Fundamental concepts of probability theory, discrete and continuous random variables, standard distributions, moments and moment-generating functions, laws of large numbers and the central limit theorem. STA 131A C- or better or MAT 135A C- or better; consent of instructor. Although the two courses, MAT 135A and STA 131A discuss many of the same topics, the orientation and the nature of the discussion are quite distinct. /Resources 1 0 R The course STA 130A with which it is somewhat related, is the first part of a two part course, STA 130A,B covering both probability and statistical inference. Prerequisite(s): Two years of high school algebra. ), Statistics: General Statistics Track (B.S. UC Davis 2022-2023 General Catalog. ), Statistics: Statistical Data Science Track (B.S. Principles, methodologies and applications of parametric and nonparametric regression, classification, resampling and model selection techniques. Use of professional level software. Course Description: Multivariate analysis: multivariate distributions, multivariate linear models, data analytic methods including principal component, factor, discriminant, canonical correlation and cluster analysis. 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In order to ensure that you are able to transfer to UC Davis with sufficient progress made towards your major, b, Statistics: Applied Statistics Track (A.B. ), Statistics: Machine Learning Track (B.S. UC Davis Department of Statistics - STA 131A Introduction to You are encouraged to contact the Statistics Department's Undergraduate Program Coordinator atstat-advising@ucdavis.eduif you have any questions about the statistics major tracks. UC Davis Department of Statistics - Information for Prospective Prerequisite:STA 130A C- or better or STA 131A C- or better or MAT 135A C- or better. Pass One restricted to Statistics majors. ), Statistics: Machine Learning Track (B.S. Scraping Web pages and using Web services/APIs. STA 130B - Mathematical Statistics: Brief Course STA 130A or 131A or MAT 135A : Winter, Spring . In order to ensure that you are able to transfer to UC Davis with sufficient progress made towards your major, below is information regarding the courses you are recommended to take before transferring. Course Description: Introduction to computing for data analysis & visualization, and simulation, using a high-level language (e.g., R). Prerequisite(s): An introductory upper division statistics course and some knowledge of vectors and matrices; STA100, or STA 102, or STA103 suggested or the equivalent. Copyright The Regents of the University of California, Davis campus. General Catalog - Epidemiology (EPI) - UC Davis The course MAT 135A is an introduction to probability theory from purely MAT and more advanced viewpoint. :Z ), Statistics: Applied Statistics Track (B.S. All rights reserved. Elective MAT 135A or STA 131A. Hypothesis testing and confidence intervals for one and two means and proportions. Prerequisite:(MAT 016C C- or better or MAT 017C C- or better or MAT 021C C- or better); (STA 013 C- or better or STA 013Y C- or better or STA 032 C- or better or STA 100 C- or better). Although the two courses, MAT 135A and STA 131A discuss many of the same topics, the orientation and the nature of the discussion are quite distinct. Prerequisite:STA 141A C- or better; (STA 130A C- or better or STA 131A C- or better or MAT 135A C- or better); STA 131A or MAT 135A preferred. Basics of Probability Theory, Multivariate normal Basics of Decision Theory (decision space, decision rule, loss, risk) Exponential families; MLE; Sufficiency, Cramer-Rao Inequality Asymptotics with application to MLEs (and generalization to M-estimation)Illustrative Reading: Course Description: Statistics and probability in daily life. General linear model, least squares estimates, Gauss-Markov theorem. Please follow the links below to find out more information about our major tracks. Course Description: Multivariate normal distribution; Mahalanobis distance; sampling distributions of the mean vector and covariance matrix; Hotellings T2; simultaneous inference; one-way MANOVA; discriminant analysis; principal components; canonical correlation; factor analysis. Prerequisite(s): STA015C C- or better or STA106 C- or better or STA108 C- or better. Based on these offerings, a student can complete a Bachelor of Arts or a Bachalor of Science degree in Statistics. STA 13 or 32 or 100 : Fall, Winter, Spring . Oh ok. Thing is that MAT 22A is a prereq for STA 131A and the STA 131 series is far from easy, so I would rather play it safe on this one. A high level programming language like R or Python will be used for the computation, and students will become familiar with using existing packages for implementing specific methods. Interactive data visualization with Web technologies.