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All Current Term Statistics Courses


Spring 2023

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 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
001M W F
0900-0950
Dane Smith Hall 225
Mohammad Ahmadi30
003T R
1400-1515
Dane Smith Hall 127
Mohammed Quazi32
005T R
0930-1045
Dane Smith Hall 228
Patrick Denne36Rescheduled from CRN 59683 STAT 345 004.

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
Collaborative Teaching & Learn 300
Erik Erhardt339Interactive Learning Space

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
1230-1345
Collaborative Teaching & Learn 210
Yan Lu38

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
001T R
1100-1215
Science Math Learning Center 352
James Degnan38

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
002R
1530-1645
Dane Smith Hall 231
T
1530-1645
Remote Instruction UNM CANVAS
Ronald Christensen327Rescheduled from CRN 59736 STAT 476 001. See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated in-person times and for completion of course work.

STAT 479 - T:

Modern topics not covered in regular course offerings.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1400-1515
Mitchell Hall 206
Yan Lu316

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
002James Degnan1 TO 325
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
Collaborative Teaching & Learn 300
Erik Erhardt334Interactive Learning Space

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
1230-1345
Collaborative Teaching & Learn 210
Yan Lu39

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
001T R
1100-1215
Science Math Learning Center 352
James Degnan37

STAT 557 - Adv Statistical Inference II

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

SectionTime/LocationInstructorCreditsSeats OpenNotes
002R
1100-1215
Dane Smith Hall 231
T
1100-1215
Remote Instruction UNM CANVAS
Ronald Christensen31Rescheduled from CRN 58696 STAT 557 001. See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated in-person times and for completion of course work.

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
002R
1530-1645
Dane Smith Hall 231
T
1530-1645
Remote Instruction UNM CANVAS
Ronald Christensen315Rescheduled from CRN 59735 STAT 576 001. See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated in-person times and for completion of course work.

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
1400-1515
Mitchell Hall 206
Yan Lu316

STAT 599 - Masters Thesis

Faculty-supervised investigative study that results in the development and writing of a master’s thesis. Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002Ronald Christensen1 TO 625
003Erik Erhardt1 TO 625
004Li Li1 TO 625
005James Degnan1 TO 624
006
-

Guoyi Zhang1 TO 62
007
-

Fletcher Christensen1 TO 625

STAT 649 - Sem Probability & Statistics

(Also offered as MATH 649) Course emphasizes investigation, evaluation, and discussion of areas of specialized knowledge or inquiry relevant to the profession or field of study.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002F
1200-1250

Guoyi Zhang15

STAT 650 - Reading and Research

A faculty-supervised course culminating in a comprehensive paper or research proposal that integrates knowledge attained through coursework, research, and experience.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002James Degnan1 TO 623
003Li Li1 TO 625
004Ronald Christensen1 TO 625
005Li Luo1 TO 625
006Huining Kang1 TO 625
007Guoyi Zhang1 TO 625
008
-

Fletcher Christensen1 TO 624
009
-

1 TO 625

STAT 699 - Dissertation

Faculty-supervised investigative study that results in the development and writing of a doctoral dissertation. Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002Ronald Christensen3 TO 1225
003Abdullah Mueen3 TO 1225
004Erik Erhardt3 TO 1224
005Li Li3 TO 1225
007James Degnan3 TO 1223
006Yan Lu3 TO 1225
008
-

Gabriel Huerta3 TO 122
009
-

Fletcher Christensen3 TO 1222
001
-

Guoyi Zhang3 TO 125