All Current Term Statistics Courses


Spring 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 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
Mohammed Quazi33
002T R
0800-0915
Dane Smith Hall 225
Nikolay Miller39
003M W F
0900-0950
Dane Smith Hall 228
Md Rashidul Hasan31
004T R
0930-1045
Dane Smith Hall 324
Paul Fawcett32
006M W F
1000-1050
Dane Smith Hall 234
Khalid Ifzarene30
010T R
1100-1215
Dane Smith Hall 329
Paul Fawcett32
005T R
0930-1045
Dane Smith Hall 228
Ye Jin Choi36
014T R
1530-1700
Collaborative Teaching & Learn 330
Erik Erhardt319
018M W F
1400-1450
Dane Smith Hall 129
Zacharia Stuart314
011T R
1100-1215
Dane Smith Hall 127
Nina Greenberg33
023M W
1730-1845
Dane Smith Hall 229
Pascal Buser315
016M W F
1300-1350
Dane Smith Hall 229
Jonathan Odumegwu323
024T R
1730-1845
Dane Smith Hall 325
Pascal Buser317
012M W F
1200-1250
Dane Smith Hall 228
Khalid Ifzarene34
007M W F
1000-1050
Dane Smith Hall 129
Jared DiDomenico30
015T R
1230-1345
R.O. Anderson Grad Sch of Mgmt 230
William Brown34
009M W F
1100-1150
Dane Smith Hall 223
Dominic Lewinski32
008M W F
1100-1150
Dane Smith Hall 226
Haussohou Edi35
021T R
1400-1515
Dane Smith Hall 223
Benjamin Chase33
025M W F
0800-0950
Science Math Learning Center 352
Kellin Rumsey37

STAT 345 - Elements of Math Stat & Prob

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1400-1515
Dane Smith Hall 127
Yan Lu37
001M W F
1100-1150
Dane Smith Hall 225
Guoyi Zhang311
003T R
1230-1345
Collaborative Teaching & Learn 230
Li Li32

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
001T R
0930-1045
Dane Smith Hall 227
Yan Lu32

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
001T R
1530-1645
Science Math Learning Center 120
Ronald Christensen30

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
1300-1350
Dane Smith Hall 324
Guoyi Zhang318

STAT 474 - Bio Statistics

A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 428 or 440.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0800-0915
Dane Smith Hall 128
Li Li315

STAT 476 - Multivariate Analysis

Tools for multivariate analysis including multivariate ANOVA, principal components analysis, discriminant analysis, cluster analysis, factor analysis, structural equations modeling, canonical correlations and multidimensional scaling. Prerequisite: 428 or 440. {Offered upon demand}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Science Math Learning Center 120
Ronald Christensen39

STAT 477 - Intro Bayes Modeling

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Science Math Learning Center 352
Fletcher Christensen31

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 322
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
001T R
0930-1045
Dane Smith Hall 227
Yan Lu31

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
001T R
1530-1645
Science Math Learning Center 120
Ronald Christensen33

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
1300-1350
Dane Smith Hall 324
Guoyi Zhang36

STAT 557 - Adv Statistical Inference II

Standard limit theorems, hypothesis testing, confidence intervals and decision theory. Prerequisite: 556. {Alternate Springs}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1000-1050
Science Math Learning Center 356
James Degnan37

STAT 565 - Stochastic Processes with Apps

(Also offered as MATH 540) Markov chains and processes with applications. Classification of states. Decompositions. Stationary distributions. Probability of absorption, the gambler's ruin and mean time problems. Queuing and branching processes. Introduction to continuous time Markov processes. Jump processes and Brownian motion. Prerequisite: 561. {Offered on demand}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150
Science Math Learning Center 352
James Degnan30

STAT 574 - Bio Statistics

A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 528 or 540.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0800-0915
Dane Smith Hall 128
Li Li37

STAT 576 - Multivariate Analysis

Tools for multivariate analysis including multivariate ANOVA, principal components analysis, discriminant analysis, cluster analysis, factor analysis, structural equations modeling, canonical correlations and multidimensional scaling. Prerequisite: 528 or 540. {Offered upon demand}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Science Math Learning Center 120
Ronald Christensen38

STAT 577 - Intro to Bayes Modeling

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Science Math Learning Center 352
Fletcher Christensen33

STAT 579 - Sel T:

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Science Math Learning Center 352
Fletcher Christensen310

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 624
002Ronald Christensen1 TO 625
003Erik Erhardt1 TO 625
004Li Li1 TO 624
005James Degnan1 TO 624
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
003Li Li1 TO 624
004Ronald Christensen1 TO 625
005Li Luo1 TO 624
006Huining Kang1 TO 623
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 1224
005Li Li3 TO 1224
007James Degnan3 TO 1222
006Yan Lu3 TO 1224
008
-

Gabriel Huerta3 TO 122