), Statistics: Applied Statistics Track (B.S. Course Description: Principles and practice of interdisciplinary collaboration in statistics, statistical consulting, ethical aspects, and basics of data analysis and study design. ), Prospective Transfer Students-Data Science, Ph.D. Regression and correlation, multiple regression. >> endobj Course Description: Work experience in statistics. Course Description: Simple random, stratified random, cluster, and systematic sampling plans; mean, proportion, total, ratio, and regression estimators for these plans; sample survey design, absolute and relative error, sample size selection, strata construction; sampling and nonsampling sources of error. Course Description: Principles of supervised and unsupervised statistical learning. Not open for credit to students who have completed Mathematics 135A. Prerequisite(s): STA106; STA108; STA131A; STA131B; STA131C; STA232A; MAT167. 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: Comprehensive treatment of nonparametric statistical inference, including the most basic materials from classical nonparametrics, robustness, nonparametric estimation of a distribution function from incomplete data, curve estimation, and theory of re-sampling methodology. The midterm and final examinations will differ from those of 131A in that they will include material covered in the additional reading assignments. Prerequisite(s): STA035B C- or better; (MAT016B C- or better or MAT017B C- or better or MAT021B C- or better). Program in Statistics - Biostatistics Track, Supervised methods versus unsupervised methods, Linear and quadratic discriminant analysis, Variable selection - AIC and BIC criteria. At most, one course used in satisfaction of your minor may be applied to your major. UC Davis Department of Statistics - STA 200A Introduction to Please note that the courses below have additional prerequisites. Course Description: Fundamental concepts and methods in statistical learning with emphasis on supervised learning. STA 131A Introduction to Probability Theory. UC Davis Course ECS 32A or 36A (or former courses ECS 10 or 30 or 40) UC Davis Course ECS 32B (or former course ECS 60) is also strongly recommended. Regression. You must have a grade point average of 2.0 in all courses required for the minor. Prerequisite(s): MAT016A (can be concurrent) or MAT017A (can be concurrent) or MAT021A (can be concurrent). All rights reserved. General linear model, least squares estimates, Gauss-Markov theorem. . Prerequisite(s): STA131B; STA237A; or the equivalent of STA131B. Prerequisite(s): STA131A; STA131B; STA131C; MAT 025; MAT 125A; or equivalent of MAT 025 and MAT 125A. In addition, ECS 171 covers both unsupervised and supervised learning methods in one course, whereas STA 142A is dedicated to supervised learning methods only. ), Statistics: General Statistics Track (B.S. Please follow the links below to find out more information about our major tracks. Course Description: Topics in asymptotic theory of statistics chosen from weak convergence, contiguity, empirical processes, Edgeworth expansion, and semiparametric inference. Prentice Hall, Upper Saddle River, N.J. Instructor: Prof. Peter Hall Lecture times: 11.00 am Mondays, Wednesdays and Fridays, in Olson 223. Prerequisite(s): Introductory statistics course; some knowledge of vectors and matrices. ), Statistics: Machine Learning Track (B.S. Course Description: First part of three-quarter sequence on mathematical statistics. Lecture: 3 hours Processing data in blocks. . Course Description: Varieties of categorical data, cross-classifications, contingency tables, tests for independence. Program in Statistics - Biostatistics Track. University of California, Davis, One Shields Avenue, Davis, CA 95616 | 530-752-1011. 3 0 obj << One Introductory Statistics Course UC Davis Course STA 13 or 32 or 100; If the courses above are completed pre-matriculation, your major course schedule at UC Davis will be similar to the one below. The 92 credit major aims to provide a foundation in the theory and methodology behind data science, and to prepare students for more advanced studies. ), Statistics: Applied Statistics Track (B.S. A First Course in Probability, 8th Edn. STA 290 Seminar: Aidan Miliff Event Date. In addition to learning concepts and . Please utilize their website for information about admissions requirements and transferring. I'm taking 130B and find the material a bit more intuitive than 131A. You can find course articulations for California community colleges using assist.org. MAT 021C C- or better; (MAT 022A C- or better or MAT 027A C- or better or MAT 067 C- or better); MAT 021D strongly recommended. Course Description: Introduction to consulting, in-class consulting as a group, statistical consulting with clients, and in-class discussion of consulting problems. Program in Statistics - Biostatistics Track. Roussas, Academic Press, 2007None. Principles, methodologies and applications of parametric and nonparametric regression, classification, resampling and model selection techniques. Catalog Description:Fundamental concepts and methods in statistical learning with emphasis on supervised learning. Course Description: Focus on linear statistical models. Course Description: Focus on linear statistical models widely used in scientific research. General linear model, least squares estimates, Gauss-Markov theorem. Copyright The Regents of the University of California, Davis campus. bs*dtfh # PzC?nv(G6HuN@ sq7$. Course Description: Teaching assistant training practicum. Prerequisite(s): STA106; STA108; STA131A; STA131B; STA131C; MAT167. Experiences taking MAT 167 in the Summer : r/UCDavis - Reddit Effective Term: 2008 Summer Session I. Emphasis on concepts, methods, and data analysis. UC Davis Department of Statistics - Prospective Transfer Students stream ECS 117. Emphasis on concepts, methods and data analysis using SAS. Prerequisite(s): STA106 C- or better; STA108 C- or better; (STA130B C- or better or STA131B C- or better); STA141A C- or better. Requirements from previous years can be found in the General Catalog Archive. Overview of computer networks, TCP/IP protocol suite, computer-networking applications and protocols, transport-layer protocols, network architectures, Internet Protocol (IP), routing, link-layer protocols, local area and wireless networks, medium access control, physical aspects of data transmission, and network-performance analysis. STA 290 Seminar: Aidan Miliff | UC Davis Department of Statistics Prerequisite(s): STA130A C- or better or STA131A C- or better or MAT135A C- or better. ), Statistics: Applied Statistics Track (B.S. STA 131B Introduction to Mathematical Statistics. Prerequisite: STA 130A C- or better or STA 131A C- or better or MAT 135A C- or better. Course Description: Subjective probability, Bayes Theorem, conjugate priors, non-informative priors, estimation, testing, prediction, empirical Bayes methods, properties of Bayesian procedures, comparisons with classical procedures, approximation techniques, Gibbs sampling, hierarchical Bayesian analysis, applications, computer implemented data analysis. 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. ( Spring STA 141A. Copyright The Regents of the University of California, Davis campus. Course Description: Focus on linear and nonlinear statistical models. Both courses cover the fundamentals of the various methods and techniques, their implementation and applications. General Catalog - Epidemiology (EPI) - UC Davis Prerequisite(s): STA207 or STA232B; working knowledge of advanced statistical software and the equivalent of STA207 or STA232B. if you have any questions about the statistics major tracks. The Department offers a minor program in Statistics that consists of five upper division level courses focusing on the fundamentals of mathematical statistics and of the most widely used applied statistical methods. Course Description: Random experiments; countable sample spaces; elementary probability axioms; counting formulas; conditional probability; independence; Bayes theorem; expectation; gambling problems; binomial, hypergeometric, Poisson, geometric, negative binomial and multinomial models; limiting distributions; Markov chains. ), Statistics: General Statistics Track (B.S. All rights reserved. May be taught abroad. & B.S. Format: Principles, methodologies and applications of parametric and nonparametric regression, classification, resampling and model selection techniques. Course Description: Practical experience in methods/problems of teaching statistics at university undergraduate level. ), Prospective Transfer Students-Data Science, Ph.D. Prerequisite: STA 108 C- or better or STA 106 C- or better. Probability and Statistics by Mark J. Schervish, Morris H. DeGroot 4th Edition 2014, Pearson, University of California, Davis, One Shields Avenue, Davis, CA 95616 | 530-752-1011. STA 231B: Mathematical Statistics II | UC Davis Department of Statistics I've looked at my friend's 131B material and it's pretty similar, I think 131B is a little bit more theoretical than . Description. Topics selected from: martingales, Markov chains, ergodic theory. One-way and two-way fixed effects analysis of variance models. ): Concept of a statistical model; observations as random variables, definition/examples of a statistic, statistical inference and examples throughout the entire course: emphasize the difference between population quantities, random variables and observables, Methods of estimation: MLEs, Bayes, MOM (5 lect.) UC Davis Department of Statistics - STA 131A Introduction to Topics include algorithms; design; debugging and efficiency; object-oriented concepts; model specification and fitting; statistical visualization; data and text processing; databases; computer systems and platforms; comparison of scientific programming languages. Hypothesis testing and confidence intervals for one and two means and proportions. Prerequisite(s): Consent of instructor. Admissions decisions are not handled by the Department of Statistics. Illustrative reading:Introduction to Probability, G.G. ), Statistics: General Statistics Track (B.S. Processing data in blocks. STA 130A addresses itself to a different audience, and contains a brief introduction to probabilistic concepts at a less sophisticated level. It is not a course of statistics, but very fundamental and useful for statistics; . Similar topics are covered in STA 131B and 131C. Program in Statistics - Biostatistics Track, Random experiments, sample spaces, events, Independence, conditional probability, Bayes Theorem, Covariance and conditional expectation for discrete random variables, Special distributions and models, with applications, Discrete distributions including binomial, poisson, geometric, negative binomial and hypergeometric, Continuous distributions including normal, exponential, gamma, uniform, Sums of independant binomial, poisson, normal and gamma random variables, Central limit theorem and law of large numbers, Approximations for certain discrete random variables, Minimum variance unbiased estimation, Cramer-Rao inequality, Confidence intervals for means, proportions and variances. Prerequisite(s): STA235B or MAT235B; or consent of instructor. Prerequisite(s): (STA130B or STA131B) or (STA106, STA108). STA 130A addresses itself to a different audience, and contains a brief introduction to probabilistic concepts at a less sophisticated level. Prerequisite(s): (STA130A, STA130B); (MAT067 or MAT167); or equivalent of STA130A and 130B, or equivalent of MAT167 or MAT067. %PDF-1.5 Course Description: Topics from balanced and partially balanced incomplete block designs, fractional factorials, and response surfaces. Prerequisite:STA 131A C- or better or MAT 135A C- or better; consent of instructor. Test heavy Caring. Program in Statistics - Biostatistics Track. Only 2 units of credit allowed to students who have taken course 131A . Based on these offerings, a student can complete a Bachelor of Arts or a Bachalor of Science degree in Statistics. Logit models, linear logistic models. Course Description: Directed group study. General Catalog - Statistics (STA) - UC Davis ECS 116. Prospective Transfer Students-Statistics, A.B. Double Major MS Admissions; Ph.D. Course Description: Essentials of using relational databases and SQL. 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 University of California, Davis , One Shields Avenue, Davis, CA 95616 | 530-752-1011 ), Statistics: General Statistics Track (B.S. Most transfer students start UC Davis at the beginning of their junior year and are usually able to complete their major and university requirements in the next two years. Course information: MAT 21D, Winter Quarter, 2021 Lectures: Online (asynchronous): lectures will be posted to Canvas on MWF before 5pm. Course Description: Estimation and testing for the general linear model, regression, analysis of designed experiments, and missing data techniques. Prerequisite(s): MAT021A; MAT021B; MAT021C; MAT022A; consent of instructor. Copyright The Regents of the University of California, Davis campus. UC Davis Department of Statistics - STA 130A Mathematical Statistics Prerequisite: (STA 130B C- or better or STA 131B C- or better); (MAT 022A C- or better or MAT 027A C- or better or MAT 067 C- or better). Prerequisite(s): (MAT 125B, MAT135A) or STA131A; or consent of instructor. Roussas, Academic Press, 2007. Questions or comments? Course Description: Numerical analysis; random number generation; computer experiments and resampling techniques (bootstrap, cross validation); numerical optimization; matrix decompositions and linear algebra computations; algorithms (markov chain monte carlo, expectation-maximization); algorithm design and efficiency; parallel and distributed computing. Prerequisite(s): (STA013 C- or better or STA013Y C- or better or STA032 C- or better or STA100 C- or better); (MAT016B C- or better or MAT017B C- or better or MAT021B C- or better). Prerequisite: MAT 021C C- or better; (MAT 022A C- or better or MAT 027A C- or better or MAT 067 C- or better); MAT 021D . Statistics 131A and Mathematics 135A cover the topics in the first part of the course but with more in depth and theoretical orientations. I am aware of how Puckett is as a professor because I had friends who took him for MAT 22A Spring Quarter of Freshman year . Nonparametric methods; resampling techniques; missing data. It's definitely hard, but so far I'm having a better time with the material than I did with 131A. Course Description: Introductory SAS language, data management, statistical applications, methods. Course Description: Basics of experimental design. MAT 108 is recommended. Introduction to Probability, G.G. Program in Statistics - Biostatistics Track. STA 131A is an introductory course for probability. At minimum, calculus at the level of MAT 16C or 17C or 21C is required. Program in Statistics . Pre-Matriculation Course Recommendations: If the courses above are completed pre-matriculation, your major course schedule at UC Davis will be similar to the one below. STA 141A Fundamentals of Statistical Data Science. The statistics undergraduate program at UC Davis offers a large and varied collection of courses in statistical theory, methodology, and application. 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Copyright The Regents of the University of California, Davis campus. Course Description: Examination of a special topic in a small group setting. Regression and correlation, multiple regression. Prerequisite(s): Two years of high school algebra. Goals:Students learn how to use a variety of supervised statistical learning methods, and gain an understanding of their relative advantages and limitations. 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. University of California, Davis, One Shields Avenue, Davis, CA 95616 | 530-752-1011. UC Davis Department of Statistics - Minor Program