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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M W F 0900-0950 Dane Smith Hall 225	Mohammad Ahmadi	3	0
003	T R 1400-1515 Dane Smith Hall 127	Mohammed Quazi	3	3
005	T R 0930-1045 Dane Smith Hall 228	Patrick Denne	3	8	Rescheduled 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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 0930-1045 Collaborative Teaching & Learn 300	Erik Erhardt	3	41	Interactive 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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1230-1345 Collaborative Teaching & Learn 210	Yan Lu	3	8

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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1100-1215 Science Math Learning Center 352	James Degnan	3	8

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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	R 1530-1645 Dane Smith Hall 231 T 1530-1645 Remote Instruction UNM CANVAS	Ronald Christensen	3	27	Rescheduled 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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	T R 1400-1515 Mitchell Hall 206	Yan Lu	3	17

STAT 495 - Individual Study
Guided study, under the supervision of a faculty member, of selected topics not covered in regular course offerings.
Section	Time/Location	Instructor	Credits	Seats Open
002		James Degnan	1 TO 3	24
003		Ronald Christensen	1 TO 3	25
004	-	Erik Erhardt	1 TO 3	25

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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 0930-1045 Collaborative Teaching & Learn 300	Erik Erhardt	3	34	Interactive 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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1230-1345 Collaborative Teaching & Learn 210	Yan Lu	3	9

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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1100-1215 Science Math Learning Center 352	James Degnan	3	8

STAT 557 - Adv Statistical Inference II
Standard limit theorems, hypothesis testing, confidence intervals and decision theory. Prerequisite: 556. {Alternate Springs}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	R 1100-1215 Dane Smith Hall 231 T 1100-1215 Remote Instruction UNM CANVAS	Ronald Christensen	3	1	Rescheduled 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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	R 1530-1645 Dane Smith Hall 231 T 1530-1645 Remote Instruction UNM CANVAS	Ronald Christensen	3	15	Rescheduled 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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1400-1515 Mitchell Hall 206	Yan Lu	3	15

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.
Section	Time/Location	Instructor	Credits	Seats Open
001		Yan Lu	1 TO 6	25
002		Ronald Christensen	1 TO 6	25
003		Erik Erhardt	1 TO 6	25
004		Li Li	1 TO 6	25
005		James Degnan	1 TO 6	24
006	-	Guoyi Zhang	1 TO 6	2
007	-	Fletcher Christensen	1 TO 6	25

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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	F 1200-1250	Guoyi Zhang	1	5

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.
Section	Time/Location	Instructor	Credits	Seats Open
001		Yan Lu	1 TO 6	25
002		James Degnan	1 TO 6	23
003		Li Li	1 TO 6	25
004		Ronald Christensen	1 TO 6	25
005		Li Luo	1 TO 6	25
006		Huining Kang	1 TO 6	25
007		Guoyi Zhang	1 TO 6	25
008	-	Fletcher Christensen	1 TO 6	24
009	-		1 TO 6	25

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.
Section	Time/Location	Instructor	Credits	Seats Open
002		Ronald Christensen	3 TO 12	25
003		Abdullah Mueen	3 TO 12	25
004		Erik Erhardt	3 TO 12	24
005		Li Li	3 TO 12	25
007		James Degnan	3 TO 12	23
006		Yan Lu	3 TO 12	25
008	-	Gabriel Huerta	3 TO 12	2
009	-	Fletcher Christensen	3 TO 12	22
001	-	Guoyi Zhang	3 TO 12	5

Department of Mathematics & Statistics

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Department of Mathematics & Statistics

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Spring 2023

STAT 345 - Elements of Math Stat & Prob

STAT 428 - Advanced Data Analysis II

STAT 445 - Analysis of Variance Design

STAT 453 - Statistical Inference with App

STAT 476 - Multivariate Analysis

STAT 479 - T:

STAT 495 - Individual Study

STAT 528 - Advanced Data Analysis II

STAT 545 - Analysis of Variance Design

STAT 553 - Statistical Inference with App

STAT 557 - Adv Statistical Inference II

STAT 576 - Multivariate Analysis

STAT 590 - Statistical Computing

STAT 599 - Masters Thesis

STAT 649 - Sem Probability & Statistics

STAT 650 - Reading and Research

STAT 699 - Dissertation

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