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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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002M W F
1000-1050
Dane Smith Hall 227
Carlos Torres Inga30See 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.
003T R
1630-1745
Dane Smith Hall 223
Mohammad Ahmadi37
001T R
1230-1345
Dane Smith Hall 228
Stephen Lau35

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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045
Collaborative Teaching & Learn 300
Erik Erhardt338See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001R
1100-1215
Science Math Learning Center 352
T
1100-1215
Remote Instruction UNM CANVAS
Ronald Christensen318

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}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W
1400-1515
Dane Smith Hall 328
Yan Lu38See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Dane Smith Hall 233
James Degnan38See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002M W
0830-0945
R.O. Anderson Grad Sch of Mgmt 230
Yan Lu38

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
001Ronald Christensen1 TO 325
002Erik Erhardt1 TO 325
003Charles Wiggins1 TO 325
004Huining Kang1 TO 325
005James Degnan1 TO 324

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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045
Collaborative Teaching & Learn 300
Erik Erhardt37See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001R
1100-1215
Science Math Learning Center 352
T
1100-1215
Remote Instruction UNM CANVAS
Ronald Christensen39

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}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W
1400-1515
Dane Smith Hall 328
Yan Lu35See 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}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001R
1400-1515
Science Math Learning Center 352
T
1400-1515
Remote Instruction UNM CANVAS
Ronald Christensen38

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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Dane Smith Hall 233
James Degnan35See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001R
1230-1345
Science Math Learning Center 356
T
1230-1345
Remote Instruction UNM CANVAS
Fletcher Christensen322
002M W
0830-0945
R.O. Anderson Grad Sch of Mgmt 230
Yan Lu35See 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.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001
-

Erik Erhardt110Statistics Education Practicum
002
-

Fletcher Christensen1 TO 33

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
001Ronald Christensen1 TO 625
002Erik Erhardt1 TO 625
003Gabriel Huerta1 TO 625
004Yan Lu1 TO 625
005James Degnan1 TO 623
006
-

Fletcher Christensen1 TO 610

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
001F
1400-1450
Science Math Learning Center 124
111

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
002Huining Kang1 TO 624
004Ronald Christensen1 TO 624
005Li Luo1 TO 625
006Guoyi Zhang1 TO 625
007
-

James Degnan1 TO 625
008
-

Fletcher Christensen1 TO 69

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
002James Degnan3 TO 1223
003Ronald Christensen3 TO 1225
004Erik Erhardt3 TO 1224
005Yan Lu3 TO 1224
006Abdullah Mueen3 TO 1225
009
-

Guoyi Zhang3 TO 1225
001
-

Fletcher Christensen3 TO 127