• STAT courses as listed in the Academic Calendar
• Enhanced course listing that includes links to extras like course outlines, course webpages, and more (the table Jenny is developing; see draft below)

• STAT course schedule as provided by UBC Student Service Centre
• Courses running right now -- a list and a timetable view
• SLATE -- find course webpages for many current courses here

courseNo title desc links 100 Statistical Thinking 3 credits [3-0-1] Explores the development and use of statistical thinking in the modern world. The aim is to develop statistical literacy and demonstrate applications of statistics in research and society. Students who obtain credit for any of STAT 306, 307, 308, 344 cannot in the same or later term gain credit for STAT 100. Prerequisite: Principles of Mathematics 12 or Pre-Calculus 12 Course overview STAT100-2011-gustafson.pdf 200 Elementary Statistics for Applications 3 credits [3-1-0] Classical, nonparametric, and robust inferences about means, variances, and analysis of variance, using computers. Emphasis on problem formulation, assumptions, and interpretation. See the Faculty of Science Credit Exclusion Lists: www.students.ubc.ca/calendar/proof/edit/index.cfm?tree=12,215,410,414. Prerequisite: One of MATH 101, MATH 103, MATH 105, MATH 121, SCIE 001. STAT200-2011-yu.pdf 203 Statistical Methods 3 credits [3-1-0] Organizing, displaying and summarizing data. Inference estimation and testing for elementary probability models. Not for credit towards a B.Sc. (Consult the Credit Exclusion list within the Faculty of Science section in the Calendar.) Prerequisite: MATH 11. Or Pre-calculus 11. STAT203-2011-joe.pdf 241 Introductory Probability and Statistics 3 credits [3-1-0] Probability models, random variables and vectors, estimation, testing, regression, analysis of variance, goodness of fit, quality control. (Consult the Credit Exclusion list within the Faculty of Science section of the Calendar). Prerequisite: One of MATH 200, MATH 217, MATH 226, MATH 253, MATH 263. 251 Elementary Statistics 3 credits [3-1-0] Probability, discrete and continuous random variables, joint probability distributions, estimation, hypothesis testing, regression, analysis of variance, goodness of fit. (Consult the Credit Exclusion list within the Faculty of Science section of the Calendar). Prerequisite: One of MATH 200, MATH 217, MATH 226, MATH 253, MATH 263. STAT251-2011-lim.pdf 300 Intermediate Statistics for Applications 3 credits [3-1-0] Multi-factor analysis-of-variance and other experimental designs; multiple linear regression and regression diagnostics; analysis of covariance; categorical data and log-linear models; further topics in model fitting and data analysis, with statistical computing. Intended for students seeking additional exposure to statistical methodology, but not wishing to concentrate in statistical science. (Consult the Credit Exclusion list within the Faculty of Science section in the Calendar). Prerequisite: One of STAT 200, BIOL 300. 302 Introduction to Probability 3 credits [3-0-0] Basic notions of probability, random variables, expectation and conditional expectation, limit theorems. (Consult the Credit Exclusion list within the Faculty of Science section in the Calendar.) Prerequisite: One of MATH 200, MATH 226. Equivalency: MATH302 Course page from 2010-11 (Zamar) STAT302-2011-yu.pdf 305 Introduction to Statistical Inference 3 credits [3-0-1] Review of probability theory. Sampling distribution theory, large sample theory and methods of estimation and hypothesis testing, including maximum likelihood estimation, likelihood ratio testing and confidence interval construction. Prerequisite: Either (a) one of STAT 200, BIOL 300 and one of MATH 302, STAT 302; or (b) a score of 65% or higher in one of MATH 302, STAT 302. STAT 200 or BIOL 300 is recommended. 306 Finding Relationships in Data 3 credits [3-0-1] Modeling a response (output) variable as a function of several explanatory (input) variables: multiple regression for a continuous response, logistic regression for a binary response, and log-linear models for count data. Finding low-dimensional structure: principal components analysis. Cluster analysis. (Consult the Credit Exclusion List within the Faculty of Science section in the Calendar). Prerequisite: One of MATH 152, MATH 221, MATH 223 and one of STAT 200, STAT 241, STAT 251, BIOL 300. 307 Statistics Laboratory I 2 credits [0-4-0] Implementing theory in applications. Problem based learning. Generation and analysis of case data. Modelling, computation and reporting. Corequisite: STAT 306. 308 Statistics Laboratory II 1 credits [0-2-0] Continuation of STAT 307. 335 Statistics in Quality Assurance 3 credits [3-0-1] Philosophy of quality improvement and total quality control. Definitions of quality. Deming's principles, Ishikawa's tools, control charts, acceptance sampling, continuous improvement, quality design. Credit cannot be obtained for both STAT 335 and WOOD 335. Prerequisite: One of STAT 200, STAT 241, STAT 251, BIOL 300. STAT335-2011-dunham.pdf 344 Sample Surveys 3 credits [3-0-1] Planning and practice of sample surveys. Random sampling, bias and variance, unequal probability sampling, systematic, multistage and stratified sampling, ratio and regression estimators, post-stratification, establishing a frame, pretesting, pilot studies, nonresponse and additional topics. Prerequisite: Either (a) one of STAT 200, BIOL 300 and one of MATH 302, STAT 302; or (b) STAT 305. STAT344-2011-chen.pdf 398 Co-operative Work Placement I 3 credits Prerequisite: Registration in Statistics Honours or Major Program. Home page Science Co-op 399 Co-operative Work Placement II 3 credits Prerequisite: STAT 398. Home page Science Co-op 404 Design and Analysis of Experiments 3 credits [3-0-1] Theory and application of analysis of variance for standard experimental designs, including blocked, nested, factorial and split plot designs. Fixed and random effects, multiple comparisons, analysis of covariance. (Consult the Credit Exclusion list within the Faculty of Science section in the Calendar). Prerequisite: STAT 305. Corequisite: STAT 306. STAT404-2011-chen.pdf 406 Algorithms for Classification and Prediction 3 credits [3-0-1] Flexible, data-adaptive methods for modeling large data sets: visualization and summarization of data; handling large data sets; robust regression and smoothing; methods for assessing accuracy of prediction; neural networks; classification and regression trees; nearest-neighbour methods; model averaging. Prerequisite: One of STAT 306, CPSC 340. Course page from 2009-10 441 Multivariate Statistical Methods 3 credits [3-0-1] Multivariate analysis of variance and regression. Canonical correlations, principal components, factor analysis, discrimination, classification and cluster analysis. Emphasis on computer implementation and applications to the various sciences. Prerequisite: STAT 306 and one of MATH 223, MATH 307. Course page from 2010-11 STAT441-2011-salibian-barrera.pdf 442 Statistical Methods for Categorical Data 3 credits [3-0-1] Exact and asymptotic methods for 2x2 and rxc contingency tables, logistic regression models for binary response variables, log-linear models for multiway contingency tables, model selection, special topics. Emphasis will be on computer implementation and applications to the various sciences and interpretation of the various models. Prerequisite: STAT 306. Course page from 2008-09 443 Time Series and Forecasting 3 credits [3-0-0] Trend and seasonality, autocorrelation, stationarity, stochastic models, exponential smoothing, Holt-Winters methods, Box-Jenkins approach, frequency domain analysis. Prerequisite: One of MATH 302, MATH 318, STAT 302 and one of STAT 200, ECON 325. Corequisite: STAT 305. STAT443-2011-nolde.pdf 445 Introduction to Exploratory Data Analysis 3 credits [3-0-1] Methods for exploring and presenting the structure of data: one group of numbers, several groups, bivariate data, time series data and two-way tables. Data displays, outlier identification, transformations, resistant regression, several types of data smoothing, comparisons with standard statistical methods. Prerequisite: STAT 306. 447 Special Topics in Statistics 2-6 credits Prerequisite: STAT 305. Permission of the instructor is required. 450 Case Studies in Statistics 3 credits [3-0-1] Readings and projects in areas of current statistical application including environmental science, industrial statistics, official statistics, actuarial statistics, and medical statistics. Prerequisite: STAT 306. STAT450-2011-Petkau.pdf 460 Statistical Inference I 3 credits [3-0-0] A detailed theoretical development. Statistical models, exponential families, sufficiency, completeness, and detailed properties of point estimation. Intended for Honours students. Prerequisite: MATH 320. STAT 305 is recommended. Course page from 2009-10 STAT460-2011-zamar.pdf 461 Statistical Inference II 3 credits [3-0-0] Detailed development of the theory of testing hypotheses and confidence regions, Bayesian models and inference, elements of decision theory and additional topics. Intended for Honours students. Prerequisite: STAT 460. Course page from 2010-11 STAT461-2011-wu.pdf 498 Co-operative Work Placement III 3 credits Home page Science Co-op 499 Co-operative Work Placement IV 0 credits Home page Science Co-op 518 Theoretical Statistics 3 credits not recently offered 520 Topics in Bayesian Analysis and Decision Theory 1-6 credits 521 Topics in Multivariate Analysis 1-6 credits STAT521-2011-joe.pdf 522 Topics in Asymptotic Theory and Statistical Inference 1-6 credits 526 Topics in Smoothing Methods 1-6 credits Course pages from previous years 527 Topics in Biostatistics 1-6 credits 530 Bayesian Inference and Decision 1-3 credits Theory, methods, and applications of the Bayesian approach to statistical inference. Course page from 2009-10 531 Reliability Theory 1-3 credits not recently offered 532 Sequential Statistical Procedures 1-3 credits not recently offered 533 Survival Analysis 1-3 credits Statistical methods applicable to time-to-event data, including treatment of censored data. Course page from 2005-06 534 Experimental Design and Quality Improvement 1-3 credits not recently offered 535 Statistical Computing 1-3 credits Computational methods useful in statistics. Possible topics include optimization algorithms, numerical linear algebra algorithms, Monte Carlo algorithms. 536 Statistical Theory for the Design and Analysis of Clinical Studies 1-3 credits Statistical concepts and methods commonly applied in the health sciences. Includes dicussion of common biomedical study designs. 536C Statistical Theory for the Design and Analysis of Clinical Studies 1-3 credits Course page from 2010-11 STAT536C-2011-gustafson.pdf 537 Linear Models 1-3 credits not recently offered 538 Generalized Linear Models 1-3 credits Extending regression methodology, particularly to categorical and count response variables Course page from 2010-11 538A Generalized Linear Models 1-3 credits STAT538A-2011-wu.pdf 540 Statistical Methods for High Dimensional Biology 1-3 credits Statistical methods especially relevant to modern genome-scale datasets, such as gene expression profiling or gene networks. STAT540-2011-bryan.pdf 541 Applied Multivariate Analysis 1-3 credits Extending statistical methodology to deal with ensembles of response variables. Includes topics such as principal components analysis and clustering algorithms. 542 Analysis of Categorical Data 1-3 credits not recently offered 543 Time Series Analysis 1-3 credits Statistical concepts and methods applicable to data recorded over time. 544 Theory of Sampling 1-3 credits not recently offered 545 Exploratory Data Analysis 1-3 credits Concepts and hands on training in data handling and exploration with the statistical language R. Heavy emphasis on visualization. 545A Exploratory Data Analysis 1-3 credits Course page from 2010-11 STAT545A-2011-bryan.pdf 546 Nonparametric Statistical Methods 1-3 credits not recently offered 547 Topics in Statistics 1-6 credits 547C Probability 1-6 credits Course page from 2010-11 STAT547C-2011-bouchard-cote.pdf 547M Statistical Modelling of Extreme Values 1-6 credits STAT547M-2011-nolde.pdf 547N Robustness 1-6 credits STAT547N-2011-zamar.pdf 548 Directed Studies in Statistics 1-6 credits Statistics Ph.D. Qualifying Course Course page from 2011-12 549 Thesis for Master's Degree 6/12 credits 550 Techniques of Statistical Consulting 3 credits Concepts of statistical consulting, including report writing and communicating with clients. Course page from 2010-11 STAT550-2011-brant.pdf 551 Statistical Consulting Practicum 3 credits Practicum experience for statistical consulting. Course page from 2010-11 STAT551-2011-petkau.pdf 560 Statistical Theory I 3 credits [3-0-0] Credit will not be given for both STAT 460 and STAT 560. This course is not eligible for Credit/D/Fail grading. Course page from 2009-10 STAT560-2011-zamar.pdf 561 Statistical Theory II 3 credits Detailed development of the theory of testing hypotheses and confidence regions, Bayesian models and inference, elements of decision theory and additional topics. Intended for Honours students. Prerequisite: STAT 460. Course page from 2010-11 STAT561-2011-wu.pdf 589 M.Sc. Project 3 credits 598 Co-operative Work Placement I 3 credits Home page Science Co-op 599 Co-operative Work Placement II 3 credits Prerequisite: STAT 598. Home page Science Co-op 649 Doctoral Dissertation 0 credits