OEO Office of Equal Opportunity - Department of Mathematics and ...

254 ARTS AND SCIENCES
572./472. Sampling Theory and Practice. (3)
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}
574./474. Biostatistical Methods: Survival Analysis and
Logistic Regression. (3)
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.
576./476. Multivariate Analysis. (3)
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}
577./477. Introduction to Bayesian Modeling. (3)
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.
Prerequisites: 561 and (527 or 540). {Alternate Springs}.
579. Selected Topics in Statistics. (3, no limit) ∆
581./481. Introduction to Time Series Analysis. (3)
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}
582. Advanced Time Series Analysis. (3)
Time series models in the time and spectral domains. Linear
filters. Multivariate models. Autoregressive and moving average
models. Filtering and prediction. Distribution theory.
Design of experiments.
Prerequisite: 581. {Alternate Falls}
585. Nonparametric and Robust Methods. (3)
Statistical methods that are insensitive to the distribution of
the data. Sign tests, Kolmogorov-Smirnov tests, rank tests
including the Wilcoxon, Mann-Whitney, Kruskal-Wallis and
Friedman tests. Robust estimation including M estimators, L
estimators and R estimators.
Prerequisite: 561. {Offered upon demand}
586. Nonparametric Curve Estimation and Image
Reconstruction. (3)
Nonparametric regression, density estimation, filtering, spectral
density estimation, image reconstruction and pattern
recognition. Tools include orthogonal series, kernels, splines,
wavelets and neural networks. Applications to medicine,
engineering, biostatistics and economics.
Prerequisite: 561. {Offered upon demand}
590. Statistical Computing. (3)
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.
595. Problems. (1-3, no limit) †
597. Statistical Consulting Laboratory. (1-3, no limit) ∆
Provides experience in statistical consulting and analysis
of real data.
Prerequisite: 528.
599. Master’s Thesis. (1-6)
Offered on a CR/NC basis only.
605. Graduate Colloquium. (1-1 to a maximum of 4) ∆
Students present their current research.
649. Seminar in Probability and Statistics. (1-3, no
limit) ∆
(Also offered as MATH 649.)
650. Reading and Research. (1-6 to a maximum of 12) †
699. Dissertation. (3-12)
Offered on a CR/NC basis only.
PEACE STUDIES MINOR
Jennifer Moore, Director (Law)
Betsy Erbaugh, Advisor (Sociology)
Eva Lipton, Finance Coordinator (Medieval Studies)
Sterling Coke, Web Designer (Mathematics)
Peace Studies Program
MSC05 3080
SSCI 1103
1 University of New Mexico
Albuquerque NM 87131-0001
(505) 277-2501
http://www.unm.edu/~peace
Faculty
Colston Chandler (Physics)
Philip Gonzales (Sociology)
Alex Lubin (American Studies)
Carole Nagengast (Anthropology)
Shiame Okunor (African American Studies)
Mark Peceny (Political Science)
Christine Rack (Sociology)
Barri Sanders (UNM-Taos, Peace Studies Program)
Fiona Sinclair (American Studies)
Jane Slaughter (History)
Students
Desi Brown (BUS)
Angela Kostelnick (Peace Studies)
Community Partners
Anita Amstutz (Albuquerque Mennonite Church)
Introduction
The minor in Peace Studies is an interdepartmental and interdisciplinary
program designed to introduce students to the
causes and consequences of conflict. The program allows
students the opportunity to examine alternatives to violence
and to reflect upon the nature of peace as a sustainable
condition at the individual and collective levels.
In the twenty-first century, the problem of violence exists on
multiple levels, from domestic abuse and entrenched poverty
to international armed conflict, terrorism and counter-terrorism.
We face the prospect of a nuclear conflagration on
one side, with the daily reality of low-technology conflicts in
dozens of countries on another. In the organized violence
of warfare, far more civilians die than soldiers; small arms
destroy more than sophisticated weaponry, and war-related
poverty, displacement, and disease are the biggest killers of
all. Moreover, in refugee camps and urban communities alike,
the pervasive incidence of violence within families and communities
feeds and is fed by violence in its other forms.
Peace Studies students examine the influences that often
lead to violent conflict, and the alternative pathways toward
UNM CATALOG 2006–2007 Symbols, page 611.