All Current Term Statistics Courses

Fall 2022

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
002	M W F 1000-1050 Dane Smith Hall 227	Carlos Torres Inga	3	0	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	Mohammad Ahmadi	3	7
001	T R 1230-1345 Dane Smith Hall 228	Stephen Lau	3	5

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	T R 0930-1045 Collaborative Teaching & Learn 300	Erik Erhardt	3	38	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 434 - Contingency Tables
This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1100-1215 Science Math Learning Center 352 T 1100-1215 Remote Instruction UNM CANVAS	Ronald Christensen	3	18

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 W 1400-1515 Dane Smith Hall 328	Yan Lu	3	8	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	T R 1230-1345 Dane Smith Hall 233	James Degnan	3	8	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 479 - T:
Modern topics not covered in regular course offerings.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
002	M W 0830-0945 R.O. Anderson Grad Sch of Mgmt 230	Yan Lu	3	8

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	25
003	Charles Wiggins	1 TO 3	25
004	Huining Kang	1 TO 3	25
005	James Degnan	1 TO 3	24

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	T R 0930-1045 Collaborative Teaching & Learn 300	Erik Erhardt	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 534 - Contingency Tables
This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1100-1215 Science Math Learning Center 352 T 1100-1215 Remote Instruction UNM CANVAS	Ronald Christensen	3	9

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 W 1400-1515 Dane Smith Hall 328	Yan Lu	3	5	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 556 - Adv Statistical Inference I
Theory and methods of point estimation, sufficiency and its applications. Prerequisite: 553, 561 and MATH 510. {Alternate Falls}
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1400-1515 Science Math Learning Center 352 T 1400-1515 Remote Instruction UNM CANVAS	Ronald Christensen	3	8

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	T R 1230-1345 Dane Smith Hall 233	James Degnan	3	5	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:
A course exploring a topic not covered by the standard curriculum but of interest to faculty and students in a particular semester.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	R 1230-1345 Science Math Learning Center 356 T 1230-1345 Remote Instruction UNM CANVAS	Fletcher Christensen	3	22
002	M W 0830-0945 R.O. Anderson Grad Sch of Mgmt 230	Yan Lu	3	5	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
Individual research into an area proposed by the student and conducted under the direction of a faculty member.
Section	Time/Location	Instructor	Credits	Seats Open	Notes
001	-	Erik Erhardt	1	10	Statistics Education Practicum
002	-	Fletcher Christensen	1 TO 3	3

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		Ronald Christensen	1 TO 6	25
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	23
006	-	Fletcher Christensen	1 TO 6	10

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
001	F 1400-1450 Science Math Learning Center 124		1	11

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		Huining Kang	1 TO 6	24
004		Ronald Christensen	1 TO 6	24
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	9

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		James Degnan	3 TO 12	23
003		Ronald Christensen	3 TO 12	25
004		Erik Erhardt	3 TO 12	24
005		Yan Lu	3 TO 12	24
006		Abdullah Mueen	3 TO 12	25
009	-	Guoyi Zhang	3 TO 12	25
001	-	Fletcher Christensen	3 TO 12	7

Department of Mathematics & Statistics

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Department of Mathematics & Statistics

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Fall 2022

STAT 345 - Elements of Math Stat & Prob

STAT 427 - Advanced Data Analysis I

STAT 434 - Contingency Tables

STAT 440 - Regression Analysis

STAT 461 - Probability

STAT 479 - T:

STAT 495 - Individual Study

STAT 527 - Advanced Data Analysis I

STAT 534 - Contingency Tables

STAT 540 - Regression Analysis

STAT 556 - Adv Statistical Inference I

STAT 561 - Probability

STAT 579 - Sel T:

STAT 595 - Problems

STAT 599 - Masters Thesis

STAT 649 - Sem Probability & Statistics

STAT 650 - Reading and Research

STAT 699 - Dissertation

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