All Current Term Statistics Courses

Spring 2021

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

Click on course title for full details

STAT 279 - T: Introductory Statistics
Offered upon demand.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001		Andisheh Dadashi	1 TO 3	4	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

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
002	M W F 1200-1250 Remote Instruction UNM LEARN	Yan Lu	3	15	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.
001	M W F 0900-0950 Remote Instruction UNM LEARN	Jared DiDomenico	3	0	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.
003	T R 1400-1515 Remote Instruction UNM LEARN	Mohammed Quazi	3	6	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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	- Remote Instruction UNM LEARN	Erik Erhardt	3	42	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

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 1400-1515 Remote Instruction UNM LEARN	Guoyi Zhang	3	0	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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 1230-1345 Remote Instruction UNM LEARN	James Degnan	3	3	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M W F 1000-1050 Remote Instruction UNM LEARN	Yan Lu	3	10	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001		Li Li	3	7	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

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: (427 or 440) and 461.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1100-1215 Remote Instruction UNM LEARN	Fletcher Christensen	3	3	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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	25
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		Erik Erhardt	3	35	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

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 1400-1515 Remote Instruction UNM LEARN	Guoyi Zhang	3	8	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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 1230-1345 Remote Instruction UNM LEARN	James Degnan	3	8	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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
001	T R 1230-1345 Remote Instruction UNM LEARN	Ronald Christensen	3	9	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M W F 1000-1050 Remote Instruction UNM LEARN	Yan Lu	3	14	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001		Li Li	3	1	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

STAT 577 - Intro Bayseian 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: (527 or 540) and 561.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1100-1215 Remote Instruction UNM LEARN	Fletcher Christensen	3	10	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

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		Li Li	3	6	Computer and internet connection required. Students may complete course work independently. Instructor will arrange remote online instruction schedule. No online fee.

STAT 599 - Masters 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	24
003		Erik Erhardt	1 TO 6	23
004		Li Li	1 TO 6	25
005		James Degnan	1 TO 6	22
006	-	Guoyi Zhang	1 TO 6	2
007	-	Fletcher Christensen	1 TO 6	25

STAT 649 - Sem Probability & Statistics
(Also offered as MATH 649)
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	M 1500-1550 Remote Instruction UNM LEARN	Guoyi Zhang	1	11	Computer and internet connection required. Student must be available for remote online course meetings at specific day and times. Instructor will arrange remote instruction schedule. No online fee.

STAT 650 - Reading and Research
.
Section	Time/Location	Instructor	Credits	Seats Open
001		Yan Lu	1 TO 6	25
002		James Degnan	1 TO 6	25
003		Li Li	1 TO 6	25
004		Ronald Christensen	1 TO 6	25
005		Li Luo	1 TO 6	24
006		Huining Kang	1 TO 6	23
007		Guoyi Zhang	1 TO 6	25
008	-	Fletcher Christensen	1 TO 6	24
009	-		1 TO 6	25

STAT 699 - Dissertation
Offered on a CR/NC basis only.
Section	Time/Location	Instructor	Credits	Seats Open
002		Ronald Christensen	3 TO 12	25
003		Gabriel Huerta	3 TO 12	25
004		Erik Erhardt	3 TO 12	24
005		Li Li	3 TO 12	24
007		James Degnan	3 TO 12	21
006		Yan Lu	3 TO 12	23
008	-	Gabriel Huerta	3 TO 12	2
009	-	Fletcher Christensen	3 TO 12	23
001	-	Guoyi Zhang	3 TO 12	24

Department of Mathematics & Statistics

Courses

Department of Mathematics & Statistics

Navigation

Spring 2021

STAT 279 - T: Introductory Statistics

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 472 - Sampling Theory & Practice

STAT 474 - Bio Statistics

STAT 477 - Intro Bayes Modeling

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 572 - Sampling Theory & Practice

STAT 574 - Bio Statistics

STAT 577 - Intro Bayseian Modeling

STAT 590 - Statistical Computing

STAT 599 - Masters Thesis

STAT 649 - Sem Probability & Statistics

STAT 650 - Reading and Research

STAT 699 - Dissertation

Academics

Campus Life

Resources

Information for…