STAT 401
Experimental Methods (3) Random variables; probability density functions; estimation; statistical tests, t-tests; correlation; simple linear regression; one-way analysis of variance; randomized blocks.
Effective: Spring 1988
Prerequisite:
MATH 111 orMATH 141
STAT 402
Statistical Analysis II (3) Two-sample problems, single and multifactor ANOVA, simple and multiple regression, categorical data.
Effective: Fall 2007
Prerequisite:
STAT 301 . 400 level needed for honors program
STAT 414
(MATH 414)
Introduction to Probability Theory (3) Probability spaces, discrete and continuous random variables, transformations, expectations, generating functions, conditional distributions, law of large numbers, central limit theorems. Students may take only one course from STAT(MATH) 414 and 418.
Effective: Fall 2001
Prerequisite:
MATH 230 orMATH 231
STAT 415
(MATH 415)
Introduction to Mathematical Statistics (3) A theoretical treatment of statistical inference, including sufficiency, estimation, testing, regression, analysis of variance, and chi-square tests.
Effective: Fall 1989
Prerequisite:
MATH 414
STAT 416
(MATH 416)
Stochastic Modeling (3) Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death processes, estimation.
Effective: Spring 1984
Prerequisite:
STAT 318 orSTAT 414;MATH 230
STAT 418
(MATH 418)
Introduction to Probability and Stochastic Processes for Engineering (3) Introduction to probability axioms, combinatorics, random variables, limit laws, and stochastic processes. Students may take only one course from MATH(STAT) 414 and 418 for credit.
Effective: Fall 2011
Prerequisite:
MATH 230 orMATH 231
STAT 440
Computational Statistics (3) Topics related to computing in statistics, including numerical linear algebra, optimization, simulation, numerical integration, and bootstrapping.
Effective: Spring 2006
Prerequisite:
STAT 200 or equivalentSTAT 415, MATH 220
STAT 460
Intermediate Applied Statistics (3) Review of hypothesis testing, goodness-of-fit tests, regression, correlation analysis, completely randomized designs, randomized complete block designs, latin squares.
Effective: Fall 2006
Prerequisite:
STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 orSTAT 401
STAT 461
Analysis of Variance (3) Analysis of variance for single and multifactor designs; response surface methodology.
Effective: Fall 2007
Prerequisite:
STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 orSTAT 401
STAT 462
Applied Regression Analysis (3) Introduction to linear and multiple regression; correlation; choice of models, stepwise regression, nonlinear regression.
Effective: Fall 2006
Prerequisite:
STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 orSTAT 401
STAT 463
Applied Time Series Analysis (3) Identification of models for empirical data collected over time; use of models in forecasting.
Effective: Spring 2006
Prerequisite:
STAT 462
STAT 464
Applied Nonparametric Statistics (3) Tests based on nominal and ordinal data for both related and independent samples. Chi-square tests, correlation.
Effective: Fall 2006
Prerequisite:
STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 orSTAT 401
STAT 466
Survey Sampling (3) Introduction to design and analysis of sample surveys, including questionnaire design, data collection, sampling methods, and ratio and regression estimation.
Effective: Spring 2006
Prerequisite:
STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 orSTAT 401
STAT 470W
Problem Solving and Communication in Applied Statistics (3) Provide problem solving and communication skills through development of writing ability, interaction with peers and the SCC, and oral presentations.
Effective: Spring 2000
Prerequisite:
STAT 460, STAT 462, STAT 480
STAT 480
Introduction to SAS (1) Introduction to SAS with emphasis on reading, manipulating and summarizing data.
Effective: Spring 2008
Prerequisite:
3 credits in statistics
STAT 481
Intermediate SAS for Data Management (1) Intermediate SAS for data management.
Effective: Summer 2007
Prerequisite:
STAT 480
STAT 482
Advanced Topics in SAS (1) Advanced statistical procedures in SAS, including ANOVA, GLM, CORR, REG, MANOVA, FACTOR, DISCRIM, LOGISTIC, MIXED, GRAPH, EXPORT, and SQL. Credit can not be received for both STAT 482 and STAT 480/481/483.
Effective: Summer 2009
Prerequisite:
STAT 480 andSTAT 481
STAT 483
Statistical Analysis System Programming (3) Introduction, intermediate, and advanced topics in SAS. Credit can not be received for both STAT 483 and STAT 480/481/482.
Effective: Summer 2009
Prerequisite:
3 credits in statistics
STAT 494
Research Project (1-12) Supervised student activities on research projects identified on an individual or small group basis.
Effective: Fall 2007
Prerequisite:
6 credits in statistics
STAT 494H
Research Project (1-12) Supervised student activities on research projects identified on an individual or small group basis.
Effective: Fall 2007
Prerequisite:
6 CREDITS IN STATISTICS
STAT 495
Internship (1-18) Supervised off-campus, nongroup instruction including field experiences, practica, or internships.
Effective: Fall 2007
Prerequisite:
6 credits in statistics
STAT 496
Independent Studies (1-18) Creative projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.
Effective: Fall 1983
STAT 497
Special Topics (1-9) Formal courses given infrequently to explore, in depth, a comparatively narrow subject which may be topical or of special interest.
Effective: Fall 1983
STAT 497C
Topics in Stat Computing with R (1) Topics: I) Basic background on R II) Manipulating data I III) Finding help IV) Simple univariet data V) importing data VI) Documenting your work VI) Manipulating cata II VII) Reptitive tasks - loops and the apply() family (IX) Bisual data X) Basic analyses (as much as possible we'll workwith realdata.)
Effective: Summer 2013 Ending: Summer 2013
STAT 497C
Topics in Stat Computing with R (1) Topics: I) Basic background on R II) Manipulating data I III) Finding help IV) Simple univariate data V) importing data VI) Documenting your work VI) Manipulating data II VII) Repetitive tasks - loops and the apply() family(IX) Bisual data X) Basic analyses (as much as possible we'll work with real data.)
Effective: Fall 2013 Ending: Fall 2013 Future: Fall 2013
STAT 499
(IL)
Foreign Studies (1-12) Courses offered in foreign countries by individual or group instruction.
Effective: Summer 2005
STAT 500
Applied Statistics (3) Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and 2-way ANOVA, Chi-square tests, diagnostics.
Effective: Spring 1999
Prerequisite:
one undergraduate course in statistics
STAT 501
Regression Methods (3) Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.
Effective: Fall 2006
Prerequisite:
STAT 500 or equivalent; matrix algebra
STAT 502
Analysis of Variance and Design of Experiments (3) Analysis of variance and design concepts; factorial, nested, and unbalanced data; ANCOVA; blocked, Latin square, split-plot, repeated measures designs.
Effective: Fall 1995
Prerequisite:
STAT 462 orSTAT 501
STAT 503
Design of Experiments (3) Design principles; optimality; confounding in split-plot, repeated measures, fractional factorial, response surface, and balanced/partially balanced incomplete block designs.
Effective: Fall 1983
Prerequisite:
STAT 462 orSTAT 501;STAT 502
STAT 504
Analysis of Discrete Data (3) Models for frequency arrays; goodness-of-fit tests; two-, three-, and higher- way tables; latent and logistic models.
Effective: Fall 1983
Prerequisite:
STAT 460 orSTAT 502 orSTAT 516 ; matrix algebra
STAT 505
Applied Multivariate Statistical Analysis (3) Analysis of multivariate data; T2-tests; particle correlation; discrimination; MANOVA; cluster analysis; regression; growth curves; factor analysis; principal components; canonical correlations.
Effective: Spring 2003
Prerequisite:
MATH 441, STAT 501, STAT 502
STAT 506
Sampling Theory and Methods (3) Theory and application of sampling from finite populations.
Effective: Fall 1983
Prerequisite:
calculus; 3 credits in statistics
STAT 507
Epidemiologic Research Methods (3) Research and quantitative methods for analysis of epidemiologic observational studies. Non-randomized, intervention studies for human health, and disease treatment.
Effective: Spring 2005
Prerequisite:
STAT 250 or equivalent
STAT 509
Design and Analysis of Clinical Trials (3) An introduction to the design and statistical analysis of randomized and observational studies in biomedical research.
Effective: Fall 2004
Prerequisite:
STAT 500
STAT 510
Applied Time Series Analysis (3) Identification of models for empirical data collected over time. Use of models in forecasting.
Effective: Fall 1983
Prerequisite:
STAT 462 orSTAT 501 orSTAT 511
STAT 511
Regression Analysis and Modeling (3) Multiple regression methodology using matrix notation; linear, polynomial, and nonlinear models; indicator variables; AOV models; piece-wise regression, autocorrelation; residual analyses.
Effective: Fall 2006
Prerequisite:
STAT 500 or equivalent; matrix algebra; calculus
STAT 512
Design and Analysis of Experiments (3) AOV, unbalanced, nested factors; CRD, RCBD, Latin squares, split-plot, and repeatd measures; incomplete block, fractional factorial, response surface designs; confounding.
Effective: Spring 1984
Prerequisite:
STAT 511
STAT 513
Theory of Statistics I (3) Probability models, random variables, expectation, generating functions, distribution theory, limit theorems, parametric families, exponential families, sampling distributions.
Effective: Summer 1986
Prerequisite:
MATH 230
STAT 514
Theory of Statistics II (3) Sufficiency, completeness, likelihood, estimation, testing, decision theory, Bayesian inference, sequential procedures, multivariate distributions and inference, nonparametric inference.
Effective: Summer 1986
Prerequisite:
STAT 513
STAT 515
Stochastic Processes and Monte Carlo Methods (3) Conditional probability and expectation, Markov chains, Poisson processes, Continuous-time Markov chains, Monte Carlo methods, Markov chain Monte Carlo.
Effective: Spring 2013
Prerequisite:
MATH 414, STAT 414 orSTAT 513
STAT 517
(MATH 517)
Probability Theory (3) Measure theoretic foundation of probability, distribution functions and laws, types of convergence, central limit problem, conditional probability, special topics.
Effective: Summer 2000
Prerequisite:
MATH 403
STAT 518
(MATH 518)
Probability Theory (3) Measure theoretic foundation of probability, distribution functions and laws, types of convergence, central limit problem, conditional probability, special topics.
Effective: Fall 1983
Prerequisite:
STAT 517
STAT 519
(MATH 519)
Topics in Stochastic Processes (3) Selected topics in stochastic processes, including Markov and Wiener processes; stochastic integrals, optimization, and control; optimal filtering.
Effective: Fall 1984
Prerequisite:
STAT 516, STAT 517
STAT 524
Ecometrics (3) Stochastic models and statistical methods in ecological problems; population dynamics, spatial patterns in populations of one, two, or more species.
Effective: Winter 1978
Prerequisite:
STAT 414 orSTAT 418
STAT 525
Survival Analysis I (3) Location estimation, 2- and K- sample problems, matched pairs, tests for association and covariance analysis when the data are censored.
Effective: Summer 1992
Prerequisite:
STAT 512, STAT 514
STAT 540
Statistical Computing (3) Computational foundations of statistics; algorithms for linear and nonlinear models, discrete algorithms in statistics, graphics, missing data, Monte Carlo techniques.
Effective: Fall 1983
Prerequisite:
STAT 501 orSTAT 511;STAT 415 ; matrix algebra
STAT 544
Categorical Data Analysis I (3) Two-way tables; generalized linear models; logistic and conditional logistic models; loglinear models; fitting strategies; model selection; residual analysis.
Effective: Summer 1992
Prerequisite:
STAT 512, STAT 514
STAT 548
Statistical Distribution Theory (3) Analytical study of nonnormal models and methods in reliability theory, survival analysis, records evaluation, scale/scale-free analysis, and directional statistics.
Effective: Spring 1984
Prerequisite:
MATH 410 orMATH 414 orMATH 416
STAT 551
Linear Models I (3) A coordinate-free treatment of the theory of univariate linear models, including multiple regression and analysis of variance models.
Effective: Spring 1987
Prerequisite:
MATH 415 orSTAT 415 orSTAT 514;STAT 512;MATH 436 orMATH 441
STAT 552
Linear Models II (3) Treatment of other normal models, including generalized linear, repeated measures, random effects, mixed, correlation, and some multivariate models.
Effective: Spring 1987
Prerequisite:
STAT 551
STAT 553
Asymptotic Tools (3) A rigorous but non-measure-theoretic introduction to statistical large-sample theory for Ph.D. students.
Effective: Summer 2004
Prerequisite:
STAT 513 andSTAT 514
STAT 557
(IST 557)
Data Mining I (3) This course introduces data mining and statistical/machine learning, and their applications in information retrieval, database management, and image analysis.
Effective: Summer 2009
Prerequisite:
STAT 318 orSTAT 416 and basic programming skills
STAT 558
(IST 558)
Data Mining II (3) Advanced data mining techniques: temporal pattern mining, network mining, boosting, discriminative models, generative models, data warehouse, and choosing mining algorithms.
Effective: Summer 2010
Prerequisite:
STAT 557 orIST 557
STAT 561
Statistical Inference I (3) Classical optimal hypothesis test and confidence regions, Bayesian inference, Bayesian computation, large sample relationship between Bayesian and classical procedures.
Effective: Spring 2003
Prerequisite:
STAT 514
Concurrent:
STAT 517
STAT 562
Statistical Inference II (3) Basic limit theorems; asymptotically efficient estimators and tests; local asymptotic analysis; estimating equations and generalized linear models.
Effective: Spring 2003
Prerequisite:
STAT 561
STAT 565
Multivariate Analysis (3) Theoretical treatment of methods for analyzing multivariate data, including Hotelling's T2, MANOVA, discrimination, principal components, and canonical analysis.
Effective: Spring 1987
Prerequisite:
STAT 505, STAT 551
STAT 580
Statistical Consulting Practicum I (2) General principles of statistical consulting and statistical consulting experience. Preparation of reports, presentations, and communication aspects of consulting are discussed.
Effective: Spring 2005
Prerequisite:
STAT 502;STAT 503, STAT 504, STAT 506
STAT 581
Statistical Consulting Practicum II (1 per semester/maximum of 2) Statistical consulting experience including client meetings, development of recommendation reports, and discussion of consulting solutions.
Effective: Summer 2004
Prerequisite:
STAT 580
STAT 590
Colloquium (1-3) Continuing seminars which consist of a series of individual lectures by faculty, students, or outside speakers.
Effective: Spring 1987
STAT 596
Individual Studies (1-9) Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
Effective: Spring 1987
STAT 597
Special Topics (1-9) Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Effective: Spring 1987
STAT 597A
Stochastic Differential Equations (1) Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Effective: Summer 2013 Ending: Summer 2013
STAT 600
Thesis Research (1-15) No description.
Effective: Fall 1983
STAT 601
Ph.D. Dissertation Full-Time (0) No description.
Effective: Fall 1983
STAT 610
Thesis Research Off Campus (1-15) No description.
Effective: Fall 1983
STAT 611
Ph.D. Dissertation Part-Time (0) No description.
Effective: Fall 1983
STAT 897
Special Topics (1-9) Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Effective: Spring 2008
STAT 897A
Introduction to Applied Statistics (3) Description statistics, hypothesis testing, power estimation, confidence, intervals, regression, one- and two-way ANOVA< chi-square tests, diagnostics.term.
Effective: Fall 2013 Ending: Fall 2013 Future: Fall 2013
STAT 897D
Applied Data Mining and Statistical Learning (3) Data Mining tools are exploring data with regression, PCA, discriminant analysis, cluster analysis, classification and regression trees (CART).
Effective: Summer 2013 Ending: Summer 2013
STAT 897D
Applied Data Mining and Statistical Learning (3) Data Mining tools are exploring data with regression, PCA, discriminate analysis, cluster analysis, classification and regression trees (CART).
Effective: Fall 2013 Ending: Fall 2013 Future: Fall 2013
Last Import from UCM: May 18, 2013 3:00 AM