All Current Term Statistics Courses

Fall 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

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STAT 279 - T: Introductory Statistics
Offered upon demand.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	T R 1530-1645 Remote Instruction UNM LEARN T R 1530-1645 Science Math Learning Center 120	Andisheh Dadashi	3	12	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. 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
001	R 1230-1345 Mitchell Hall 122 T 1230-1345 Remote Instruction UNM LEARN	Fletcher Christensen	3	23	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.
002	M W F 1000-1050 Remote Instruction UNM LEARN	Mohammad Ahmadi	3	1	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.
003	T R 1630-1745 Dane Smith Hall 223	Mohammed Quazi	3	21

STAT 427 - Advanced Data Analysis I
Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Prerequisite: MATH 1350.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 0930-1045 Collaborative Teaching & Learn 300 T 0930-1045 Remote Instruction UNM LEARN	Erik Erhardt	3	32	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 440 - Regression Analysis
Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M 1500-1550 Dane Smith Hall 328 W F 1500-1550 Remote Instruction UNM LEARN	Guoyi Zhang	3	10	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 461 - Probability
(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2531.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M 1400-1450 Dane Smith Hall 123 W F 1400-1450 Remote Instruction UNM LEARN	James Degnan	3	6	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 470 - Industrial Statistics
Basic ideas of statistical quality control and improvement. Topics covered: Deming's 14 points and deadly diseases, Pareto charts, histograms, cause and effect diagrams, control charts, sampling, prediction, reliability, experimental design, fractional factorials, Taguchi methods, response surfaces. Prerequisite: **345.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1100-1215 Dane Smith Hall 226 T 1100-1215 Remote Instruction UNM LEARN	Ronald Christensen	3	13	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 481 - Intro Time Series Analysis
Introduction to time domain and frequency domain models of time series. Data analysis with emphasis on Box-Jenkins methods. Topics such as multivariate models; linear filters; linear prediction; forecasting and control. Prerequisite: 461. {Alternate Springs}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	M W 1200-1250 Dane Smith Hall 328 F 1200-1250 Remote Instruction UNM LEARN	James Degnan	3	9	rescheduled from CRN 69052 STAT 481 001. See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. 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	Instructor	Credits	Seats Open
001	Ronald Christensen	1 TO 3	25
002	Erik Erhardt	1 TO 3	24
003	Charles Wiggins	1 TO 3	25
004	Huining Kang	1 TO 3	25
005	James Degnan	1 TO 3	25

STAT 527 - Advanced Data Analysis I
Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics. Prerequisite: MATH 1350.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 0930-1045 Collaborative Teaching & Learn 300 T 0930-1045 Remote Instruction UNM LEARN	Erik Erhardt	3	15	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 540 - Regression Analysis
Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 527. {Fall}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M 1500-1550 Dane Smith Hall 328 W F 1500-1550 Remote Instruction UNM LEARN	Guoyi Zhang	3	7	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 546 - Theory of Linear Models
Theory of the Linear Models discussed in 440/540 and 445/545. Linear spaces, matrices, projections, multivariate normal distribution and theory of quadratic forms. Non-full rank models and estimability. Gauss-Markov theorem. Distribution theory for normality assumptions. Hypothesis testing and confidence regions. Prerequisite: 553, 545, linear algebra. {Alternate Falls}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1400-1515 Dane Smith Hall 229 T 1400-1515 Remote Instruction UNM LEARN	Ronald Christensen	3	16

STAT 561 - Probability
(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2531.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	M 1400-1450 Dane Smith Hall 123 W F 1400-1450 Remote Instruction UNM LEARN	James Degnan	3	3	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 570 - Industrial Stat
Basic ideas of statistical quality control and improvement. Topics covered: Demings 14 points and deadly diseases, Pareto charts, histograms, cause and effect diagrams, control charts, sampling, prediction, reliability, experimental design, fractional factorials, Taguchi methods, response surfaces. Prerequisite: **345.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1100-1215 Dane Smith Hall 226 T 1100-1215 Remote Instruction UNM LEARN	Ronald Christensen	3	4	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 579 - Sel T:
.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	R 1100-1215 Remote Instruction UNM LEARN T 1100-1215 Mitchell Hall 121	Yan Lu	3	10	See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 581 - Intro Time Series Analysis
Introduction to time domain and frequency domain models of time series. Data analysis with emphasis on Box-Jenkins methods. Topics such as multivariate models; linear filters; linear prediction; forecasting and control. Prerequisite: 561. {Alternate Springs}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	M W 1200-1250 Dane Smith Hall 328 F 1200-1250 Remote Instruction UNM LEARN	James Degnan	3	5	rescheduled from CRN 69053 STAT 581 001. See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 595 - Problems
.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	-	Erik Erhardt	1	10	Statistics Education Practicum
002	-	Fletcher Christensen	1 TO 3	4

STAT 599 - Masters Thesis
Offered on a CR/NC basis only.
Section	Time/Location	Instructor	Credits	Seats Open
001		Ronald Christensen	1 TO 6	24
002		Erik Erhardt	1 TO 6	25
003		Gabriel Huerta	1 TO 6	25
004		Yan Lu	1 TO 6	25
005		James Degnan	1 TO 6	21
006	-	Fletcher Christensen	1 TO 6	10
007	-	Li Li	1 TO 6	10

STAT 649 - Sem Probability & Statistics
(Also offered as MATH 649)
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	F 1400-1450 Science Math Learning Center 124		1	12

STAT 650 - Reading and Research
.
Section	Time/Location	Instructor	Credits	Seats Open
001		Yan Lu	1 TO 6	25
002		Huining Kang	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		Guoyi Zhang	1 TO 6	25
007	-	James Degnan	1 TO 6	25
008	-	Fletcher Christensen	1 TO 6	7

STAT 699 - Dissertation
Offered on a CR/NC basis only.
Section	Time/Location	Instructor	Credits	Seats Open
002		James Degnan	3 TO 12	21
003		Ronald Christensen	3 TO 12	25
004		Erik Erhardt	3 TO 12	24
005		Yan Lu	3 TO 12	24
007		Li Li	3 TO 12	25
006		Abdullah Mueen	3 TO 12	24
009	-	Guoyi Zhang	3 TO 12	24
001	-	Fletcher Christensen	3 TO 12	9

Department of Mathematics & Statistics

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Department of Mathematics & Statistics

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Fall 2021

STAT 279 - T: Introductory Statistics

STAT 345 - Elements of Math Stat & Prob

STAT 427 - Advanced Data Analysis I

STAT 440 - Regression Analysis

STAT 461 - Probability

STAT 470 - Industrial Statistics

STAT 481 - Intro Time Series Analysis

STAT 495 - Individual Study

STAT 527 - Advanced Data Analysis I

STAT 540 - Regression Analysis

STAT 546 - Theory of Linear Models

STAT 561 - Probability

STAT 570 - Industrial Stat

STAT 579 - Sel T:

STAT 581 - Intro Time Series Analysis

STAT 595 - Problems

STAT 599 - Masters Thesis

STAT 649 - Sem Probability & Statistics

STAT 650 - Reading and Research

STAT 699 - Dissertation

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