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All Next Term Statistics Courses


Fall 2019

This data is offered for your convenience only. The schedule data is updated regularly and may not reflect recent changes to the Schedule of Classes. For full, up-to-date course information please contact the Registrar's office

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STAT 279 - T: Introductory Statistics

Offered upon demand.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150

James Degnan330

STAT 345 - Elements of Math Stat & Prob

An introduction to probability including combinatorics, Bayes' theorem, probability densities, expectation, variance and correlation. An introduction to estimation, confidence intervals and hypothesis testing. Prerequisite: MATH 1440 or MATH 1522.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345

Li Li350
002M W F
1000-1050

Zacharia Stuart330
003T R
1630-1745
Dane Smith Hall 333
330
005 30

STAT 427 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Dane Smith Hall 328
Erik Erhardt340

STAT 440 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1300-1350

Guoyi Zhang320

STAT 461 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2530.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1200-1250
Dane Smith Hall 328
James Degnan315

STAT 472 - Sampling Theory & Practice

Basic methods of survey sampling; simple random sampling, stratified sampling, cluster sampling, systematic sampling and general sampling schemes; estimation based on auxiliary information; design of complex samples and case studies. Prerequisite: **345. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150

Guoyi Zhang330

STAT 495 - Individual Study

Guided study, under the supervision of a faculty member, of selected topics not covered in regular course offerings.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 325
002Erik Erhardt1 TO 325
003Charles Wiggins1 TO 325
004Huining Kang1 TO 325
005James Degnan1 TO 325

STAT 527 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Dane Smith Hall 328
Erik Erhardt320

STAT 540 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 527. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1300-1350

Guoyi Zhang315

STAT 546 - Theory of Linear Models

Theory of the Linear Models discussed in 440/540 and 445/545. Linear spaces, matrices, projections, multivariate normal distribution and theory of quadratic forms. Non-full rank models and estimability. Gauss-Markov theorem. Distribution theory for normality assumptions. Hypothesis testing and confidence regions. Prerequisite: 553, 545, linear algebra. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215

Ronald Christensen330

STAT 561 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2530.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1200-1250
Dane Smith Hall 328
James Degnan315

STAT 572 - Sampling Theory & Practice

Basic methods of survey sampling; simple random sampling, stratified sampling, cluster sampling, systematic sampling and general sampling schemes; estimation based on auxiliary information; design of complex samples and case studies. Prerequisite: **345. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150

Guoyi Zhang310

STAT 579 - Sel T:

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515

Fletcher Christensen315

STAT 590 - Statistical Computing

A detailed examination of essential statistical computing skills needed for research and industrial work. Students will use S-Plus, Matlab and SAS to develop algorithms for solving a variety of statistical problems using resampling and simulation techniques such as the bootstrap, Monte Carlo methods and Markov chain methods for approximating probability distributions. Applications to linear and non-linear models will be stressed. Prerequisite: 528.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045

Li Li320

STAT 595 - Problems

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001
-

Erik Erhardt110

STAT 599 - Masters Thesis

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 625
002Erik Erhardt1 TO 625
003Gabriel Huerta1 TO 625
004Yan Lu1 TO 625
005James Degnan1 TO 625

STAT 649 - Sem Probability & Statistics

(Also offered as MATH 649)

SectionTime/LocationInstructorCreditsSeats OpenNotes
001F
1300-1350
Science Math Learning Center 124
James Degnan112

STAT 650 - Reading and Research

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002Huining Kang1 TO 625
003Li Li1 TO 625
004Ronald Christensen1 TO 625
005Gabriel Huerta1 TO 625
006Guoyi Zhang1 TO 625
007
-

James Degnan1 TO 625

STAT 699 - Dissertation

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001 3 TO 1225
002James Degnan3 TO 1225
003Ronald Christensen3 TO 1225
004Erik Erhardt3 TO 1225
005Yan Lu3 TO 1225
007 3 TO 1225
006Gabriel Huerta3 TO 1225