All Next Term Statistics Courses

Spring 2018

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 145 - Intro To Statistics

Techniques for the visual presentation of numerical data, descriptive statistics, introduction to probability and basic probability models used in statistics, introduction to sampling and statistical inference, illustrated by examples from a variety of fields. Meets New Mexico Lower-Division General Education Common Core Curriculum Area II: Mathematics (NMCCN 1113). Prerequisite: (MATH 101 and MATH 102) or (MATH 118 and MATH 119) or MATH 120 or MATH 121 or MATH 123 or MATH 150 or MATH 162 or MATH 163 or MATH 180 or MATH 181 or MATH 264 or ACT Math =>22 or SAT Math Section =>540 or ACCUPLACER Elementary Algebra =66-103 or ACCUPLACER College-Level Math =37-68. {Summer, Fall, Spring}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
0800-0850
Dane Smith Hall 129
Kelli Kasper30
002T R
0800-0915
Dane Smith Hall 225
Nikolay Miller30
003M W F
0900-0950
Dane Smith Hall 228
Geoffrey Schultz30
004T R
0930-1045
Dane Smith Hall 324
Paul Fawcett30
006M W F
1000-1050
Dane Smith Hall 234
Ryan Kowal30
010T R
1100-1215
Dane Smith Hall 329
Paul Fawcett30
005T R
0930-1045
Dane Smith Hall 228
Lindsey Pittington30
014T R
1230-1345
Dane Smith Hall 129
Alejandro Gonzalez-Aller30
017M W F
1300-1350
Dane Smith Hall 226
Lidong Wang341
018M W F
1400-1450
Dane Smith Hall 129
Zheng Tan339
020M W F
1500-1550
Dane Smith Hall 129
Zheng Tan343
011T R
1100-1215
Dane Smith Hall 127
Nina Greenberg30
019T R
1400-1515
Dane Smith Hall 223
Alejandro Gonzalez-Aller30
023M W
1730-1845
Dane Smith Hall 229
Pascal Buser323
016M W F
1300-1350
Dane Smith Hall 229
Xichen Li332
024T R
1730-1845
Dane Smith Hall 325
Pascal Buser331
012M W F
1200-1250
Dane Smith Hall 228
Mohammed Quazi30
007M W F
1000-1050
Dane Smith Hall 129
Md Rashidul Hasan310
015T R
1230-1345
Dane Smith Hall 328
William Brown30
009M W F
1100-1150
Dane Smith Hall 223
Yiming Yang328
008M W F
1100-1150
Dane Smith Hall 226
Ryan Kowal30
022T R
1630-1745
Dane Smith Hall 227
Ryan Kowal337
021T R
1530-1645
Dane Smith Hall 127
Jonathan Odumegwu317
013M W F
1200-1350
Dane Smith Hall 329
Benjamin Chase350

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 163 or MATH 181.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1230-1345
Dane Smith Hall 127
Fletcher Christensen32
001M W F
1100-1150
Dane Smith Hall 225
William Stuart30
003T R
1730-1845
Dane Smith Hall 326
Kellin Rumsey30

STAT 428 - Advanced Data Analysis II

A continuation of 427 that focuses on methods for analyzing multivariate data and categorical data. Topics include MANOVA, principal components, discriminant analysis, classification, factor analysis, analysis of contingency tables including log-linear models for multidimensional tables and logistic regression. Prerequisite: 427.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150
Dane Smith Hall 329
James Degnan30

STAT 434 - Contingency Tables

This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Dane Smith Hall 229
Ronald Christensen35

STAT 445 - Analysis of Variance Design

A data-analytic course. Multifactor ANOVA. Principles of experimental design. Analysis of randomized blocks, Latin squares, split plots, etc. Random and mixed models. Extensive use of computer packages with interpretation, diagnostics. Prerequisite: 440. {Spring}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1000-1050
Dane Smith Hall 326
Guoyi Zhang30

STAT 453 - Statistical Inference with App

Transformations of univariate and multivariate distributions to obtain the special distributions important in statistics. Concepts of estimation and hypothesis testing in both large and small samples with emphasis on the statistical properties of the more commonly used procedures, including student's t-tests, F-tests and chi-square tests. Confidence intervals. Performance of procedures under non-standard conditions (i.e., robustness). Prerequisite: 461. {Spring}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
0900-0950
Dane Smith Hall 324
James Degnan310

STAT 477 - Intro Bayes Modeling

An introduction to Bayesian methodology and applications. Topics covered include: probability review, Bayes' theorem, prior elicitation, Markov chain Monte Carlo techniques. The free software programs WinBUGS and R will be used for data analysis. Prerequisite: 461 and (427 or 440). {Alternate Springs}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045
Science Math Learning Center 352
Fletcher Christensen33

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
001 1 TO 325
002James Degnan1 TO 324
003Ronald Christensen1 TO 325
004
-

Erik Erhardt1 TO 325

STAT 528 - Advanced Data Analysis II

A continuation of 527 that focuses on methods for analyzing multivariate data and categorical data. Topics include MANOVA, principal components, discriminate analysis, classification, factor analysis, analysis of contingency tables including log-linear models for multidimensional tables and logistic regression. Prerequisite: 527.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150
Dane Smith Hall 329
James Degnan36

STAT 534 - Contingency Tables

This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Dane Smith Hall 229
Ronald Christensen39

STAT 545 - Analysis of Variance Design

A data-analytic course. Multifactor ANOVA. Principles of experimental design. Analysis of randomized blocks, Latin squares, split plots, etc. Random and mixed models. Extensive use of computer packages with interpretation, diagnostics. Prerequisite: 540. {Spring}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1000-1050
Dane Smith Hall 326
Guoyi Zhang30

STAT 547 - Multivariate Analysis

Hotelling T2, multivariate ANOVA and Regression, classification and discrimination, principal components and factor analysis, clustering, graphical and computational techniques, topics in linear models. Prerequisite: 546. {Alternate Springs}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215
Dane Smith Hall 332
Ronald Christensen35

STAT 553 - Statistical Inference with App

Transformations of univariate and multivariate distributions to obtain the special distributions important in statistics. Concepts of estimation and hypothesis testing in both large and small samples with emphasis on the statistical properties of the more commonly used procedures, including Students t-tests, F-tests and chi-square tests. Confidence intervals. Performance of procedures under non-standard conditions (i.e., robustness). Prerequisite: 561. {Spring}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
0900-0950
Dane Smith Hall 324
James Degnan30

STAT 577 - Intro to Bayes Modeling

An introduction to Bayesian methodology and applications. Topics covered include: probability review, Bayes' theorem, prior elicitation, Markov chain Monte Carlo techniques. The free software programs WinBUGS and R will be used for data analysis. Prerequisite: 561 and (527 or 540). {Alternate Springs}.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045
Science Math Learning Center 352
Fletcher Christensen30

STAT 579 - Select Topics in Statistics

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Mechanical Engineering 220
Yan Lu37

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
001M W F
1300-1350
Dane Smith Hall 233
Guoyi Zhang314

STAT 595 - Problems

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001
-

110

STAT 599 - Masters Thesis

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002Ronald Christensen1 TO 625
003Erik Erhardt1 TO 625
004Gabriel Huerta1 TO 625
005James Degnan1 TO 625
006
-

Guoyi Zhang1 TO 62

STAT 649 - Sem Probability & Statistics

(Also offered as MATH 649)

SectionTime/LocationInstructorCreditsSeats OpenNotes
002
-

James Degnan15

STAT 650 - Reading and Research

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002James Degnan1 TO 625
003Erik Erhardt1 TO 625
004Ronald Christensen1 TO 625
005Li Luo1 TO 624
006Gabriel Huerta1 TO 625
007Guoyi Zhang1 TO 625

STAT 699 - Dissertation

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002Ronald Christensen3 TO 1225
003Gabriel Huerta3 TO 1225
004Erik Erhardt3 TO 1225
005 3 TO 1225
007James Degnan3 TO 1224
006Yan Lu3 TO 1225