| |
| STAT 101. 03 (2-2-2)- Activity Based Statistics F,SS |
Prerequisite:
Credit not allowed for students who have already taken any 200-level or higher statistics course. |
| |
Population sample, variation, data, relationships, probability
and risk, polls, prediction, margin of error, critical assessment
of studies.
|
| |
| STAT
110. 03 (2-0-1). Statistics in the Real
World. S. |
Prerequisite:
Credit not allowed for students who have already taken any 200-level or higher statistics course. |
| |
Use of statistical tools in real life problems using computer
packages; integration of critical thinking skills using case
studies.
|
| |
| STAT
192. 01 (0-0-1). First-Year Seminar in
Mathematical Sciences. S. |
Prerequisites:
In order to fulfill first-year seminar requirement, students
also need to pass MATH 192. |
| |
Richness and variety of problems encountered in the mathematical
sciences.
|
| |
| STAT
201. 03 (2-0-1). General Statistics.
F,S,SS. |
Prerequisite:Mathematics placement exam or one credit of 100-level mathematics.
Credit not allowed for both STAT 201 and STAT 204. Intended as a one-semester terminal course. Credit
not allowed for both STAT 201 and STAT 204. |
| |
Graphs, descriptive statistics, confidence intervals, hypothesis
tests, correlation and simple regression, tests of association.
|
| |
| STAT
204. 03 (2-2-0). Statistics for Business
Students. F,S,SS. |
Prerequisite:
Mathematics placement exam or one credit of 100-level mathematics.
Credit not allowed for both STAT 201 and STAT 204. |
| |
Surveys, sampling, descriptive statistics, confidence intervals,
contingency tables, control charts, regression, exponential
smoothing, forecasting.
|
| |
| STAT
301. 03 (3-0-0). Introduction to Statistical
Methods. F,S,SS. |
Prerequisite:
Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 160.
Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 311, STAT 315. |
| |
Techniques in statistical inference; confidence intervals, hypothesis
tests, correlation and regression, analysis of variance, chi-square
tests.
|
| |
| STAT 303/ECE 303. 03 (3-0-0). Introduction to Communication Principles . F. |
|
| |
Prerequisite: MATH 261; ECE 311 or concurrent registration. Credit not allowed for both STAT 303 and ECE 303. |
| |
Basic concepts in design and analysis of communication systems.
|
| |
| STAT
305. 03 (3-0-0). Sampling Techniques.
F. |
Prerequisite:
STAT 301 or STAT 307 or ERHS 307 or STAT 315 or
STAT 311. |
| |
Sample designs; simple random, stratified, systematic, cluster,
unequal probability, two phase; methods of estimation and sample
size determination.
|
| |
| STAT
307/ERHS 307. 03 (3-0-0). Introduction
to Biostatistics. F,S,SS. |
Prerequisite:
MATH 118 or MATH 121. Credit allowed for only one course: STAT 301,
STAT 307 or ERHS 307, STAT 315, STAT 311 |
| |
Biostatistical methods; confidence intervals, hypothesis tests,
simple correlation and regression, one-way analysis of variance.
|
| |
| STAT 311. 03 (3-0-0). Statistics for Behavioral
Sciences I. F. |
Prerequisite:
MATH 118 or MATH 121. Credit allowed for only one course: STAT 301,
STAT 307 or ERHS 307, STAT 315, STAT 311. |
| |
Classification, descriptive statistics; inference, testing,
estimation; categorical data analysis; odds ratio.
|
| |
| STAT
312. 03 (3-0-0). Statistics for Behavioral
Sciences II. S. |
Prerequisite:
STAT 301 or STAT 307 or ERHS 307 or STAT 315 or
STAT 311. |
| |
One-way analysis of variance, factorial designs, blocked designs,
multiple comparisons of means, and multiple regression.
|
| |
| STAT 315. 03 (3-0-0). Statistics for Engineers and Scientists. F,S,SS. |
Prerequisite: MATH 161 or MATH 255. Credit allowed for only one course: STAT 301, STAT 307 or ERHS 307, STAT 315, STAT 311. |
| |
Calculus-based probability and statistics: distribution theory, estimation, hypothesis testing, applications to engineering and the sciences.
|
| |
| STAT 321. 03 (3-0-0). Elementary Probabilistic-Stochastic
Modeling. S. |
Prerequisite:
MATH 151 or MATH 152 or MATH 155 or MATH 160;CS 156 or CS 160 /knowledge of a computer language.
|
| |
Probabilistic and stochastic models of real phenomena; distributions,
expectations, correlations, averages; simple Markov chains and
random walks.
|
| |
| STAT 340. 03 (3-0-0). Multiple Regression Analysis . S, SS. |
|
| |
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315. |
| |
Estimation and testing for linear, polynormal, and multiple regression models; analysis of residuals; selection of variables; nonlinear regression. |
| |
| STAT 350. 03 (3-0-0). Design of Experiments. F,SS. |
Prerequisite: STAT 301 or STAT 307 or ERHS 307 or STAT 311 or STAT 315. |
| |
Analysis of variance, covariance; randomization; completely randomized, randomized block, Latin-square, split-plot, factorial and other designs.
|
| |
| STAT 372. 03 (3-0-0). Data Analysis Tools. F. |
Prerequisite: STAT 301 or STAT 307 or ERHS 307 or STAT 315 or STAT 311. |
| |
Data Analysis principles and practice, statistical packages and computing; ANOVA, regression and categorical data methods.
|
| |
| STAT
420. 03 (3-0-0). Probability and Mathematical
Statistics I. F. |
Prerequisite:
MATH 255 or MATH 261. |
| |
Probability, random variables, distribution functions, and expectations;
joint and conditional distributions and expectations; transformations.
|
| |
| STAT
430. 03 (3-0-0). Probability and Mathematical
Statistics II. S. |
Prerequisite:
STAT 420. |
| |
Theories and applications of estimation, testing, and confidence
intervals; sampling distributions including normal, gamma, beta
X2, t, and F.
|
| |
| STAT
460. 03 (3-0-0). Applied Multivariate
Analysis. S. |
Prerequisite:
STAT 340. |
| |
Principles for multivariate estimation and testing; multivariate
analysis of variance, discriminant analysis; principal components,
factor analysis.
|
| |
| STAT
472. 03 (0-0-3). Statistical Consulting.
S. |
Prerequisite:
STAT 372 or concurrent registration or written consent of instructor.
|
| |
Statistical consulting skills including data analysis, problem
solving, report writing, oral communication, and planning experiments.
|
| |
| STAT
495. Variable credit. Independent Study. F,S, SS |
Prerequisite:
Written consent of instructor.
|
| |
STAT 498. Variable credit. Independent Study. F, S, SS |
| |
Prerequisite: Written consent of instructor. |
| |
Research skills and techniques; include both oral and written communication of results. |
| |
| STAT
500. 01 (0-2-0). Statistical Computer
Packages. S. |
Prerequisites:
STAT 302, STAT 304. |
| |
Comparison, evaluation, and use of computer packages for univariate
and multivariate statistical analyses.
|
| |
| STAT
501. 01 (1-0-0). Statistical Science.
F. |
|
| |
Overview of statistics: theory; use in agriculture, business,
environment, engineering; modeling; computing; statisticians
as researchers/consultants.
|
| |
| STAT 511. 04 (3-0-1). Design and Data Analysis
for Researchers I. F. |
|
| |
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315. |
| |
Statistical methods for experimenters and researchers emphasizing
design and analysis of experiments.
|
| |
| STAT
512. 04 (3-0-1). Design and Data Analysis
for Researchers II. S. |
Prerequisite:
STAT 511. |
| |
Model building and decision making; communication of statistical
information. Statistical methods for experimenters and researchers emphasizing
design and analysis of experiments.
|
| |
| STAT 514/OSCR 514. 04 (3-3-0). Agricultural Experiment Design and Analysis. S. |
|
| |
Prerequisite:STAT 201 or STAT 301 or STAT 307/ERHS 307. Credit allowed for only one fo the following: SOCR 414, SOCR 514, STAT 350 or STAT 514. |
| |
Design and implementation of agricultural experiments and statistical analysis of resulting data. |
| |
| STAT
515. 03 (2-2-0). Statistical Science
and Process Improvement. S. |
Prerequisite:
STAT 511 or STAT 540 or CIS 570 or written consent of instructor.
|
| |
Statistical methods in process design; statistical methods;
measurement processes; customer evaluation.
|
| |
| STAT
520. 04 (4-0-0). Introduction to Probability
Theory. F. |
Prerequisite:
MATH 229, MATH 261, MATH 317. |
| |
Probability, random variables, distributions, expectations,
generating functions, limit theorems, convergence, random processes.
|
| |
| STAT
521. 03 (3-0-0). Stochastic Processes
I. S. |
Prerequisite:
STAT 520. |
| |
Characterization of stochastic processes, Markov chains in discrete
and continuous time, branching processes, renewal theory, Brownian
motion.
|
| |
| STAT
522. 03 (3-0-0). Stochastic Processes
II. F. |
Prerequisite:
STAT 521. |
| |
Martingales and applications, random walks, fluctuation theory,
diffusion processes, point processes, queueing theory.
|
| |
| STAT
523/NR 523. 03 (3-0-0). Quantitative
Spatial Analysis. S. |
Prerequisite:
STAT 301 or STAT 307 or ERHS 307. Credit not allowed
for both STAT 523 and NR 523. |
| |
Techniques in spatial analysis; point pattern analysis, spatial
autocorrelation, trend surface and spectral analysis.
|
| |
| STAT
525. 03 (3-0-0). Analysis of Time Series
I. F. |
Prerequisite:
STAT 430. |
| |
Trend and seasonality, stationary processes, Hilbert space techniques,
the spectral distribution function, fitting ARIMA models, linear
prediction.
|
| |
| STAT
526. 03 (3-0-0). Analysis of Time Series
II. S. |
Prerequisite:
STAT 525. |
| |
Spectral analysis; the periodogram; spectral estimation techniques;
multivariate time series; linear systems and optimal control;
Kalman filtering and prediction.
|
| |
| STAT
530. 03 (3-0-0). Mathematical Statistics.
S. |
Prerequisite:
STAT 520. |
| |
Sampling distributions, estimation, testing, confidence intervals;
exact and asymptotic theories of maximum likelihood and distribution-free
methods.
|
| |
| STAT
540. 03 (3-0-0). Data Analysis and Regression.
F. |
Prerequisite:
Six credits of upper-division statistics courses or written
consent of instructor. |
| |
Introduction to multiple regression and data analysis with emphasis
on graphics and computing.
|
| |
| STAT
544/ERHS 544. 03 (3-0-0). Biostatistical
Methods for Quantitative Data. S. |
Prerequisite:
STAT 301 or STAT 307 or ERHS 307. Credit not allowed
for both STAT 544 and ERHS 544. |
| |
Regression and analysis of variance methods applied to both
observational studies and designed experiments in the biological
sciences.
|
| |
| STAT
547/ECE 547. 03 (3-0-0). Statistics for
Environmental Monitoring. S. |
Prerequisite:
STAT 301. Credit not allowed for both STAT 547 and CHEM 547.
|
| |
Applications of statistics in environmental pollution studies
involving air, water, or soil monitoring; sampling designs trend
analysis; censored data.
|
| |
| STAT
560. 03 (3-0-0). Applied Multivariate
Analysis. F,S. |
Prerequisite:
STAT 520, STAT 540. |
| |
Multivariate analysis of variance; principal components; factor
analysis; discriminant analysis; cluster analysis.
|
| |
| STAT
570. 03 (3-0-0). Nonparametric Statistics.
S. |
Prerequisite:
STAT 430 or written consent of instructor. |
| |
Distribution and uses of order statistics; nonparametric inferential
techniques, their uses and mathematical properties.
|
| |
| STAT
586. 01 (0-2-0). Practicum in Consulting
Techniques. S. |
Prerequisite:
STAT 540. |
| |
Instruction on planning
studies, writing reports, and interacting with clients. Attend
and critique consulting sessions.
|
| |
| STAT
592. 01 (0-0-1). Seminar. |
|
| |
| STAT
600. 03 (3-0-0). Statistical Computing.
F,S. |
Prerequisite:
STAT 520, STAT 540 |
| |
Statistical packages; graphical data presentation; model fitting
and diagnostics; random numbers; simulation; numerical methods
in statistics.
|
| |
| STAT 604/BUS 604. 02 (2-0-0). Managerial Statistics. F |
Prerequisites: Admission to MBA Program . Credit not allowed for both STAT 604 and BUS 604. |
| |
An introduction to statistical thinking and methods used to support managerial decision making.
| STAT
605. 03 (3-0-0). Theory of Sampling Techniques.
F. |
Prerequisites:
STAT 301 or STAT 307 or ERHS 307 or STAT 315 or
STAT 311, STAT 430. |
| |
Survey designs; simple random, stratified, cluster samples;
theory of estimation; optimization techniques for minimum variance
or costs.
|
| |
| STAT
640. 04 (4-0-0). Design and Linear Modeling
I. S. |
Prerequisites:
STAT 540 or written consent of instructor. |
| |
Introduction to linear models; experimental design; fixed,
random, and mixed models.
|
| |
| STAT
645. 03 (3-0-0). Categorical Data Analysis
and GLIM. S. |
Co-requisite:
STAT 640. |
| |
Generalized linear models, binary and polytomous data, log linear
models, quasi-likelihood models, survival data models.
|
| |
| STAT
650. 03 (3-0-0). Design and Linear Modeling
II. F. |
Prerequisite:
STAT 640 or written consent of instructor. |
| |
Mixed factorials; response surface methodology; Taguchi methods;
variance components.
|
| |
| STAT
675. A-L. Variable credit (1-3). Topics
in Statistical Methods. F,S,SS. |
Prerequisite:
STAT 430 or written consent of instructor. |
| |
A. Sampling; B. Design; C. Multivariate and regression analysis;
D. Computer intensive methods; F. robustness and nonparametric
methods; I. Industrial statistical methods; J. Reliability;
K. Bayesian statistics; L. Medical and pharmaceutical statistical
methods.
|
| |
| STAT
684. Variable 1-3 credits. Supervised
College Teaching. F,S,SS. |
Prerequisite:
Enrollment in M.S./Ph.D. program in statistics. STAT 201 and STAT 204 Teaching Asssistants should enroll for this course. |
| |
Guidance and instruction in effective teaching of college courses
in statistics.
|
| |
| STAT
695. Variable credit. Independent Study.
|
|
| |
| STAT
699. Variable credit. Thesis. |
|
| |
| STAT
720. 04 (4-0-0). Probability Theory.
S. |
Prerequisites:
STAT 520, M 517. |
| |
Measure theoretic probability, characteristic functions; convergence;
laws of large numbers; central limit, extreme value, asymptotic
theory.
|
| |
| STAT
721. 03 (3-0-0). Applied Probability
and Stochastic Processes I. F,S. |
Prerequisite:
STAT 720. |
| |
General theory of processes; Markov processes in discrete and
continuous time; review of martingales, random walk; renewal
and regenerative processes.
|
| |
| STAT
722. 03 (3-0-0). Applied Probability
and Stochastic Processes II. |
F,S,SS. Prerequisite:
STAT 720. |
| |
Brownian motion, diffusion, stochastic differential equations;
weak convergence and central limit theorems. Applications in
engineering, natural sciences.
|
| |
| STAT
725. 03 (3-0-0). Time Series and Stationary
Processes. F,S,SS. |
Prerequisite:
STAT 720, STAT 730. |
| |
Spectral theory of multivariate stationary processes; estimation,
testing for spectral, linear, ARMA representations; best linear
predictors, filters.
|
| |
| STAT
730. 04 (4-0-0). Advanced Theory of Statistics
I. F. |
Prerequisites:
STAT 530, STAT 720. |
| |
Minimal sufficiency, maximal invariance; Neyman-Pearson theory;
Fisher, Kullback-Leibler information; asymptotic properties
of maximum-likelihood methods.
|
| |
| STAT
731. 03 (3-0-0). Advanced Theory of Statistics
II. S,SS. |
Prerequisite:
STAT 730. |
| |
Decision-theory model; Bayes, e-Bayes, complete, and admissible
classes; applications to sequential analysis and design of experiments.
|
| |
| STAT
740. 03 (3-0-0). Advanced Statistical
Methods. F,S. |
Prerequisite:
STAT 640, concurrent registration in STAT 730. |
| |
Generalized additive models; recursive partitioning regression
and classification; graphical models and belief networks, spatial
statistics.
|
| |
| STAT
750. 03 (3-0-0). Advanced Theory of Design.
F,S. |
Prerequisite:
STAT 650 or written consent of instructor. |
| |
Information theory; design evaluation, factorial designs and
optimal designs, orthogonal and balanced arrays, designs with
discrete/continuous factors.
|
| |
| STAT
760. 03 (3-0-0). Theory of Multivariate
Statistics. F,SS. |
Prerequisite:
STAT 640, concurrent registration in STAT 730. |
| |
Theory of multivariate normal; maximum-likelihood inference,
union-intersection testing for single sample; theory of a multivariate
linear model.
|
| |
| STAT
770. 03 (3-0-0). Approximation Theory
and Methods. F,S. |
Prerequisite:
STAT 730. |
| |
Edgeworth expansions, saddlepoint methods; applications of weak
convergence and other approximation methods in mathematical
statistics.
|
