2017-2018 Graduate Catalog 
    
    May 28, 2024  
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2017-2018 Graduate Catalog [Archived Catalog]

Course Descriptions & Schedules

 

RANG (Range Science)
  

  • RANG 750 - Grazing Ecology and Management

    Credits: 3
    Ecological principles of domesticated livestock grazing and their application to manage grazing lands will be discussed.  Theoretical and applied models of plant/animal interactions will be presented. Grazing systems and their management of ecosystem services will be presented as balance between production and conservation outcomes.   Notes: Sections of this course are provided online through the Agriculture Interactive Distance Education Alliance.


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RECR (Recreation)
  

  • RECR 515 - Sport and Recreation Facility Management

    Credits: 3
    This course provides students with an advanced study of the management of recreation and sport facilities. Including planning and design, operations, fiscal and personnel management, legal considerations, safety and control, maintenance, and equipment.


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  • RECR 750 - Foundations of Sport and Recreation Administration

    Credits: 3
    This course will emphasize the management functions of planning, organizing, implementing, and controlling of the different fields within the sport and recreation management industry. Decision-making, problem solving, communications, ethics, issues, and trends will be covered.


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  • RECR 760 - Advanced Sport and Recreation Marketing

    Credits: 3
    This course provides students with an advanced study of the principles of marketing through sport and recreation including market research and analysis, development of a strategic marketing plan, using the 4 P’s of marketing (promotion, place, price, and product) as they apply primarily to the collegiate sport and recreation setting.


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  • RECR 762 - Ethics in Sport and Recreation

    Credits: 3
    This course will enable students to gain a deeper understanding of the moral reasoning processes of sport and recreation administration professionals primarily in the collegiate setting. Students will develop the knowledge, skills, and abilities to apply moral reasoning in dealing with ethical dilemmas in sport and recreation administration. Additionally, students will explore and clarify their career goals, as well as, gain hands on experience to further their professional development.


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REL (Religion)
  

  • REL 501 - Early Christian Era

    Credits: 3
    This course surveys important issues in western religious history and identity from first-century Christian origins through the “great medieval synthesis” of the thirteenth century. While Jewish and Islamic developments are examined, emphasis is placed upon the rise, development, and diversity, and consolidation of Christianity.


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SE (Software Engineering)
  

SEED (Secondary Education)
  
  
  

  • SEED 748 - Secondary Curriculum Practicum

    Credits: 1
    Field-based problem-centered secondary curriculum development experience. Corequisites: EDFN 747 .


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SOC (Sociology)
  

  • SOC 500 - Social Policy (COM)

    Credits: 3
    A review of social welfare legislation; current trends and issues in, and implementation and administration of, social policy in a variety of practice areas.


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  • SOC 501 - The Research Process

    Credits: 3
    Topics include conceptions of research, the philosophy of science, formal and grounded theory construction, the use of research literature, and qualitative, quantitative, and mixed approaches to research design.


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  • SOC 502 - Social Deviance (COM)

    Credits: 3
    This course examines the nature of negatively evaluated behaviors and the process by which customs, rules and normative structure of society are constructed.


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  • SOC 504 - Sociological Inquiry

    Credits: 3
    The course focuses on the use of sociological theory in both basic research and sociological practice. It examines the nature and uses of the broad orienting theories that guide sociological work, and also the production and application of unit theories which provide answers to specific research questions. Students participate in class activities through which they learn various aspects of theorizing.


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  • SOC 533 - Leadership and Organizations (COM)

    Credits: 3
    Emphasis is on the emergence of leadership patterns, group dynamics, small groups, and leadership in management.


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  • SOC 540 - Urban Sociology (COM)

    Credits: 3
    A study of the urban community, focusing on its development, social structures and institutional patterns. Prerequisites: SOC 100 or SOC 150.


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  • SOC 555 - Juvenile Delinquency (COM)

    Credits: 3
    A study of the youthful offender and the causes and consequences of delinquent behavior; preventive and rehabilitative programs are also discussed.


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  • SOC 562 - Population Studies (COM)

    Credits: 3
    A study of human populations with respect to size, distribution, and structure, with emphasis on theories of population growth and decline, population policies, and impacts on the environment.


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  • SOC 583 - Sociology of Gender Roles (COM)

    Credits: 3
    Female and male roles in relation to on another in a changing world are foci of this course. the nature of gender roles, their origin and maintenance, institutional features, and their variations over time and across cultures are examined. Prerequisites: SOC 100 or SOC 150.


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  • SOC 707 - Sociological Practice and Public Policy

    Credits: 3
    This is an advanced course in the history, issues, theories, and methods of sociological practice; the social and political issues involved in sociological practice will also be covered.


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  • SOC 709 - Evaluation Research

    Credits: 3
    Focus on the conceptualization and design of evaluation studies of various governmental programs. Design includes clarification of objectives, selection of appropriate collection techniques, and specification of target groups.


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  • SOC 710 - Research Methods

    Credits: 3
    Major emphasis will be given to research design, problems of measurement, methods of data collection, and analysis and interpretation of data; including implications for basic and applied sociologies.  An integral part of the course will be the development of a research project dealing with a current sociological issue or applied problem. Prerequisites: Instructor consent.


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  • SOC 711 - Qualitative Research Methods

    Credits: 3
    Qualitative research methods of data collection, analysis, and presentation are examined; emphasis on fieldwork involving participant observation and intensive interviewing; includes consideration of the rationale, theoretical underpinnings and limitations of qualitative research; including implications for basic and applied sociologies. Prerequisites: Instructor consent.


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  • SOC 712 - Sociological Theory I

    Credits: 3
    Critical examination and application of the main schools of sociological theory beginning with the system of Auguste Comte and ending with World War II. Prerequisites: Instructor consent.


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  • SOC 713 - Sociological Theory II

    Credits: 3
    Sociological theories and issues from World War II to present; includes implications for basic and applied sociologies. Prerequisites: Instructor consent.


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  • SOC 714 - Race, Class, Gender Intersections

    Credits: 3
    This class examines past and current research and theory in the discipline of sociology addressing race, class and gender intersections. Students will explore the transformation of these frameworks into concrete research at the micro-, meso-and macro-levels.


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  • SOC 721 - Social Stratification

    Credits: 3
    Theories of social stratification. Relationship between social class and education, occupational choice, political preference, religious affiliation and social mobility. Prerequisites: Instructor consent.


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  • SOC 725 - Social Organization

    Credits: 3
    Elements of social organization.  Analysis of social groups and complex social organizations.  Examination of conditions and factors related to the integration and disintegration of social organizations. Prerequisites: Instructor consent.


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  • SOC 726 - Teaching Sociology

    Credits: 2
    This course deals with pedagogical issues, theories, and techniques for teaching face-to-face and on-line college/university courses in sociology; students will identify and discuss the goals and purposes of higher education as they relate to teaching sociology; they will also design a course and develop a teaching philosophy statement, student learning outcomes, a course syllabi, lesson plans/training modules, and means of student assessment consistent with the teaching philosophy. 


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  • SOC 727 - Teaching Sociology Practicum

    Credits: 1-3
    This is a supervised teaching experience; theoretical, pedagogical, and teaching issues will be discussed as they relate to this experience. Prerequisites: SOC 726 .


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  • SOC 738 - Scholarship of Teaching and Learning

    Credits: 2
    This course focuses on the methods of systematic inquiry used to determine the extent to which an instructor’s teaching produces desired learning outcomes.


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  • SOC 739 - Scholarship of Teaching and Learning Practicum

    Credits: 1-3
    This is a supervised SoTL experience; students will use systematic inquiry to determine the extent to which an instructor’s teaching produces desired learning outcomes.  Theoretical, methodological, and pedagogical issues will be discussed as they relate to this experience.  Prerequisites: SOC 738 .


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  • SOC 740 - Rural Community Development

    Credits: 3
    Changes occurring in rural areas and their effects upon rural communities. Basic concepts, procedures, and processes for planning in a rural environment. Some alternative approaches to rural planning. National and International perspectives. Prerequisites: Instructor consent.


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  • SOC 762 - Applied Demography

    Credits: 3
    Focus on demographic publications and resources including Census data material; areas included are population, housing, agriculture, economics, vital statistics reports, special surveys and international materials. Emphasis on a variety of applications across disciplines. Students will also learn techniques for producing, locating, analyzing, and disseminating sociodemographic information for various geographical areas, statistical units, and political divisions; students will complete projects and sociodemographic reports.


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  • SOC 764 - Modern Demographic Theory

    Credits: 3
    Overview of the explanatory factors and determinants related to the population process of fertility, mortality, and migration. Emphasis on theoretical models that focus on developed and developing countries.


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  • SOC 766 - World Population Issues

    Credits: 3
    Focus on policy formulation and program evaluation as related to population issues; the political economy of national and international efforts are considered; planning a micro- and macro-level decision-making is examined; issues covered are population and resources, the value of children, international migration and major health problems.


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  • SOC 791 - Independent Study

    Credits: 1-3
    Notes: Sections of this course are provided online through the Great Plains Interactive Distance Education Alliance.


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  • SOC 794 - Internship

    Credits: 1-6
    Notes: Sections of this course are provided online through the Great Plains Interactive Distance Education Alliance.


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  • SOC 798 - Thesis

    Credits: 1-7
    Notes: Sections of this course are provided online through the Great Plains Interactive Distance Education Alliance.


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SPAN (Spanish)
  

SPCM (Speech Communication)
  

  • SPCM 501 - Advanced Interpersonal Communication (COM)

    Credits: 3
    Advanced study of contemporary issues that have significant impact on interpersonal relationships. Students develop an understanding of the current communication research, theory, and social practices associated with these relational issues.


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  • SPCM 510 - Organizational Communication

    Credits: 3
    Explores communication processes in organizational contexts, theories of leadership, decision making and conflict, the application of principles that facilitate communication in organizations, and other selected topics.


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  • SPCM 516 - Rhetorical Criticism

    Credits: 3
    Critical evaluation of American speakers from Colonial to contemporary times.


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  • SPCM 540 - Health Communication (COM)

    Credits: 3

    This course will examine the contexts and processes of communication about health, focusing on how professionals, patients, and practitioners interact in ways that constitute and influence health and medicine.

     

     


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  • SPCM 541 - Health Communication Campaigns

    Credits: 3
    Creation of evidence-based communication interventions to address the health needs of communities. The course requires students to identify contemporary health needs, select appropriate forms of health communication intervention, develop intervention messages and create a plan for assessing effectiveness of interventions. Students will also learn how to collect, analyze and interpret data using techniques such as surveying, interviewing, and moderating focus groups.


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  • SPCM 582 - Travel Studies

    Credits: 1-5
    This travel study course is designed to provide extra-mural educational experiences, as approved by, and under the direction of a faculty member, and may be in cooperation with faculty and administrators of other institutions. Students will participate in hand-on activities, and design educational activities for presentation at selected locations. Includes pre-travel orientation, post-travel self-evaluation, and a written report.


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  • SPCM 700 - Instructional Methods in Communication

    Credits: 3
    Problems and issues in teaching the basic communication course, development of communication courses, and issues relevant to communication education.


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  • SPCM 701 - Introduction: Graduate Studies (COM)

    Credits: 3
    This class is an examination of methods of research, writing, & documentation.  It also explores communication as a discipline.  Required of all Masters students.


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  • SPCM 702 - Communication Theory

    Credits: 3
    This course discusses the history and roots of communication theory; the connections between theory and research; issues of epistemology, axiology and ontology; as well as evaluation of theories.


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  • SPCM 787 - Research Methods in Speech Communication

    Credits: 3
    This course is an examination of the methods of social science research in the area of Speech Communication.  The course includes planning and designing communication research, methodologies for conducting communication research, and analyzing and interpreting quantitative and qualitative data.


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STAT (Statistics)
  

  • STAT 510 - SAS Programming

    Credits: 3
    Base SAS language and procedures for accessing data, manipulating data, creating data structures, managing data, producing graphs, producing reports, error handling, accessing data using SQL, and advanced programming techniques.


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  • STAT 514 - Basic R Programming

    Credits: 1
    An introduction to the R programming language. Topics will include the R programming language and environment, preparation and summarization of data, presentation of data, and programming basics.


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  • STAT 515 - R Programming

    Credits: 3
    The R programming language and environment, preparation and summarization of data, programming basics, data presentation and visualization, app creation, and advanced programming techniques. Prerequisites: CSC 150 or INFO 101.


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  • STAT 535 - Applied Bioinformatics

    Credits: 3
    This practical course is designed for students with biological background to learn how to analyze and interpret genomics data.  Topics include finding online genomics resources, BLAST searches, manipulating/editing and aligning DNA sequences, analyzing and interpreting DNA microarray data, and other current techniques of bioinformatics analysis. 


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  • STAT 541 - Statistical Methods II

    Credits: 3
    Analysis of variance, various types of regression, and other statistical techniques and distributions. Sections offered in the areas of Biological Science and Social Science. Prerequisites: STAT 281, MATH 381, or STAT 381. Credit not given for both STAT 541 and STAT 581.


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  • STAT 545 - Nonparametric Statistics

    Credits: 3
    Covers many standard nonparametric methods of analysis. Methods will be compared with one another and with parametric methods where applicable. Attention will be given to: (1) analogies with regression and ANOVA; (2) emphasis on construction of tests tailored to specific problems; and (3) logistic analysis.


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  • STAT 551 - Predictive Analytics I

    Credits: 3
    Introduction to Predictive Analytics.  This course will examine the fundamental methodologies of predictive modeling used in financial and predictive modeling such as credit scoring.  Topics covered will include logistic regression, tree algorithms, customer segmentation, cluster analysis, model evaluation, and credit scoring. Prerequisites: STAT 582 .


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  • STAT 553 - Applied Bayesian Statistics

    Credits: 3
    Introduction to the philosophy and practice of Bayesian statistics.  Statistical methods from simple regression models through generalized linear multilevel models are studied from a Bayesian perspective.  Emphasis is placed on building understanding through computational approaches using examples and simulation exercises. Prerequisites: MATH 125, STAT 381 or STAT 382, and STAT 514  or STAT 515 .


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  • STAT 560 - Time Series Analysis

    Credits: 3
    Statistical methods for analyzing data collected sequentially in time where successive observations are dependent. Includes smoothing techniques, decomposition, trends and seasonal variation, forecasting methods, models for time series: stationarity, autocorrelation, linear filters, ARMA processes, nonstationary processes, model building, forecast errors and confidence intervals. Prerequisites: STAT 441 or STAT 482 or STAT 541  or STAT 786 .


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  • STAT 700 - Statistical Programming

    Credits: 3
    Fundamentals of statistical programming languages including descriptive and visual analytics in R and SAS, and programming fundamentals of SAS and R including logic, loops, macros, and functions. Prerequisites: STAT 410 or STAT 510  or CSC 150.


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  • STAT 701 - Modern Applied Statistics I

    Credits: 3
    This course will build upon STAT 541 and assume students have knowledge of SLR, MLR, ANOVA, and basics of statistical inference. The class will start by covering statistical graphics and the associated modern statistical computing language(s). The next section of the class will focus on non- and semi-parametric methods with a focus on the application and interpretation of the methods. The last section of the class will focus on longitudinal and repeated measure models and conclude with an overview of techniques from meta-analysis and large-scale inference. Prerequisites: STAT 541  and STAT 700 .


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  • STAT 702 - Modern Applied Statistics II

    Credits: 3
    This course will start with an introduction to data mining techniques from multivariate data such as Principal Component Analysis, Multidimensional Scaling, and Cluster Analysis. From there we will move on to an introduction to supervised learning methods and pattern recognition with a focus on algorithmic methods. The course will finish with an overview of statistical prediction analysis relevant to business intelligence and analytics. Prerequisites: STAT 701 .


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  • STAT 715 - Multivariate Analysis I

    Credits: 3
    Multiple, partial, canonical correlation test of hypothesis on means; multivariate analysis of variance; principal components; factor analysis; and discriminant analysis.  Prerequisites: STAT 482 or STAT 582 .


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  • STAT 716 - Asymptotic Statistics

    Credits: 3
    This course will cover modern statistical approximation theorems relating to the current statistical and machine learning literature in Mathematical Statistics.  Specific topics to be covered are: Review of Stochastic Convergence (Almost-Sure representations, Convergence of Moments, Lindeberg-Feller Central Limit Theorem, etc.), Delta Method, Moment Estimators, and M- and Z- Estimators. An additional selection of 2-4 topics will also be covered that are related to the research focus of the PhD students in the class.  Prerequisites: STAT 715 , STAT 784 , and MATH 741 .


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  • STAT 721 - Statistic Computing/Simulation

    Credits: 3
    Computationally intensive statistical methods that would not be feasible without modern computational resources and statistical simulation techniques, including random variable generation methods, Monte Carlo simulation and importance sampling, Kernel smoothing and smoothing splines, bootstrap, jackknife and cross validation, regulation and variable selection in regression, EM algorithm, concepts of Bayesian inference, Markov chain Monte Carlo methods such as Gibbs sampling, and the Metropolis-Hasting algorithm. Prerequisites: STAT 482 or STAT 541  or STAT 701  or STAT 784  or STAT 786 .


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  • STAT 731 - Survival Analysis

    Credits: 3
    Introduction to survival data, censoring and truncation, survival function and hazard function, non-parametric methods for estimating survival curves, comparing two or more survival curves, semi-parametric proportional hazards regressions, model diagnostics, accelerated failure time and other parametric models.  Prerequisites: STAT 541  or STAT 381.


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  • STAT 736 - Bioinformatics

    Credits: 3
    This course is an introduction to bioinformatics for students in mathematics and physical sciences.  This course will include a brief introduction to cellular and molecular biology and will cover topics such as sequence alignment, phylogenetic trees and gene recognition.  Existing computational tools for nucleotide and protein sequence analysis, protein functional analysis and gene expression studies will be discussed and used.


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  • STAT 742 - Spatial Statistics

    Credits: 3
    Geostatistical data analysis with variogram, covariogram and correlogram modeling. Spatial prediction and kriging, spatial models for lattices, spatial patterns. Prerequisites: STAT 541  or STAT 560  or STAT 784  or STAT 786 .


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  • STAT 751 - Predictive Analytics II

    Credits: 3
    This course will examine advanced methodologies used in financial and predictive modeling.  Topics covered include segmented scorecards, population stability, ensemble models, neural networks, MARS regression, and support vector machines. Prerequisites: STAT 451/STAT 551 .


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  • STAT 752 - Advanced Data Science

    Credits: 3
    This course will cover current research in the Mathematical and Statistical Sciences. The focus of the class is to introduce PhD students to the ongoing research programs of the faculty and advanced methodologies outside of the traditional core classes related to the rapidly evolving disciple of Data Science. This class can be taken multiple times for credit. Prerequisites: Instructor permission.


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  • STAT 756 - Quantitative Genetics

    Credits: 3
    Theory and application of quantitative genetic analysis to applied breeding problems; estimation and partitioning of genetic variances; genetic covariance and regression; heritability and selection response; index selection; linkage and quantitative trait loci (QTL) analysis. Prerequisites: BIOL 371 and STAT 541 .


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  • STAT 760 - Quality Control

    Credits: 3
    Application of statistical techniques to the control of quality and the development of economical inspection methods. Collection, analysis, and interpretation of operations data; control charts and sampling procedure. Prerequisites: STAT 281 or STAT 381. Cross-Listed: ME 760 /OM 760 .


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  • STAT 761 - Design of Experiments I

    Credits: 3
    Analysis of variance, block designs, fixed and random effects, split plots and other experimental designs. Includes use of SAS proc GLM, Mixed, etc. Prerequisites: STAT 541  or STAT 582 .


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  • STAT 762 - Advanced Experimental Design

    Credits: 3
    Linear Model interpretation in vector spaces and projections, use of generalized inverses, identifiability and estimability of contrasts, normal equations, Gauss-Markov Theorem, MVUE, distribution theory for quadratic forms, complex designs such as crossover, splitplot and repeated measures, asymptotics for general linear models, familiarity with nonparametric regression models. Prerequisites: STAT 785  and STAT 787 .


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  • STAT 779 - Advanced Statistics Synthesis

    Credits: 1
    Synthesis of concepts from advanced statistics courses. Prerequisites: Instructor consent.


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  • STAT 784 - Statistical Inference I

    Credits: 3
    A theoretical study of the foundations of statistics, including probability, random variables, expectations, moment generating functions, sample theory, and limiting distributions. Prerequisites: STAT 381.


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  • STAT 785 - Statistical Inference II

    Credits: 3
    A theoretical study of the foundations of statistics, including most powerful tests, maximum likelihood tests, complete and sufficient statistics, etc. Corequisites: STAT 784 .


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  • STAT 786 - Regression Analysis I

    Credits: 3
    Methodology of regression analysis, including matrix formulation, inferences on parameters, multiple regression, non-linear regression, outlier detection, diagnostics, and multicollinearity. Prerequisites: STAT 381.


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  • STAT 787 - Regression Analysis II

    Credits: 3
    Advanced regression methodology, including nonlinear regression, logistic regression, Poisson regression, and correlation analysis. Prerequisites: STAT 786 .


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