Jun 17, 2024  
2020-2021 Graduate Bulletin 
    
2020-2021 Graduate Bulletin [ARCHIVED BULLETIN]

All Courses


 

Psychology

  
  • PSY 8133 Emotion

    (3 hours)
    Review of the dominant theories of emotion, including physiological, cognitive, and behavioral components. Examination of current topics and application of theory to understanding and ameliorating human problems.
  
  • PSY 8451-6 Practicum II: Practicum in Clinical Psychology

    (1-6 hours)
    Practical, supervised work experience with clinical populations. Emphasis varies across different placements. Site placement must be individually arranged with practicum coordinator. Because course meetings are essential for integrating science with practice, attendance is required. Enrollment limited to matriculated clinical students.
  
  • PSY 8551-6 Practicum III: Advanced Practicum in Clinical Psychology

    (1-6 hours)
    An advanced doctoral practicum for students who meet standards for exception to regular practicum requirements. Admission to this practicum is by application/petition to the practicum coordinator prior to the beginning of the proposed semester.
  
  • PSY 8800-9 Clinical Psychology Internship

    (0-9 hours)
    Intensive, full-time experience in an approved training facility engaged in clinical service delivery. Includes professional work with clients, special training opportunities, and close supervision by licensed psychologists. Students must register during the internship, and they must satisfactorily complete the internship for the Ph.D. in clinical psychology.
  
  • PSY 8973 Doctoral Level Seminar

    (3 hours)
    Rotating topical seminars on current issues of professional relevance. Prerequisite: PSY 7283 PSY   
  
  • PSY 8991-9 Pre-Dissertation Research

    (1-9 hours)
  
  • PSY 9981-9 Dissertation Research

    (1-9 hours)

Operations Management

  
  • QM 7003 Business Decision Models

    (3 hours)
    A survey of the field of operations research or management science including such topics as linear programming, simulation, and other deterministic and stochastic modeling techniques. Prerequisites: All foundation M.B.A. courses or admission into the M.S.B.A. program.
  
  • QM 7010 Seminar in R

    (0 hours)
    An immersive, “boot camp” styled seminar designed to rapidly build student proficiency in R programming. The seminar is conducted over a long weekend or similarly condensed timeframe in a computer laboratory setting.
  
  • QM 7013 Multivariate Analysis

    (3 hours)
    A computer-based approach to conceptual implications of the analysis of relationships among observations in multivariate systems and their application to the process of decision-making. Specific techniques emphasized are multiple regression, discriminant analysis, and factor analysis. Prerequisite: All foundation M.B.A. courses.
  
  • QM 7020 Seminar in SAS

    (0 hours)
    An immersive, “boot camp” styled seminar designed to rapidly build student proficiency in SAS programming. The seminar is conducted over a long weekend or similarly condensed timeframe in a computer laboratory setting.
  
  • QM 7023 Statistics and Data Visualization

    (3 hours)
    An introduction to basic concepts in collection, presentation, analysis, and interpretation of data, emphasizing capabilities of different statistical techniques and business applications. Topics include descriptive statistics, probability theory, statistical estimation, hypothesis testing, analysis of variance, regression analysis, and nonparametric statistical techniques. Statistical computing using R and an introduction to data visualization using R and/or Tableau.
  
  • QM 7030 Seminar in DecisionTools Suite

    (0 hours)
    An immersive, “boot camp” styled seminar designed to rapidly build student proficiency in use of Palisade’s DecisionTools suite. The seminar is conducted over a long weekend or similarly condensed timeframe in a computer laboratory setting. Includes an introduction to conditional probability. 
  
  • QM 7053 Computer Simulation

    (3 hours)
    Coverage of Monte Carlo simulation with emphasis on learning a simulation language, simulation methodology, developing and validating simulation models, and supporting statistical concepts. Prerequisites:  MBA 7273  and QM 7003 .
  
  • QM 7063 Data Mining and Predictive Analytics

    (3 Hours)
    An introductory survey of the technologies used to uncover patterns and associations in large databases. The goal is to better understand business situations and improve business decision making. While data mining techniques can be applied to various disciplines, this course specifically focuses on their use to improve business processes and performance. Applications will focus on various business problems and activities, such as fraud detection, market basket analysis, cross-selling, churn, market segmentation, credit rating, process management, and sports management. Students will gain hands-on experience in using computer software to access and mine business data sets.
  
  • QM 7073 Foundations of Analytics

    (3 Hours)
    Survey of the concepts, principles, and foundational ideas about data that unpin the practice of data mining and analytics in professional business settings.  Prerequisite: QM 2013 with a grade of C or higher. 
  
  • QM 7083 Business Analytics Practicum

    (3 hours)
    An immersive data analytics experience guided by faculty and/or industry mentors using “big data” from current business situations. In addition, participants must be able to demonstrate computational skills with R, SAS, and SQL, or their equivalents. Pre-requisites: QM 7023 , QM 7073 , and QM 7063 .
  
  • QM 7093 Enterprise Data Systems

    (3 hours)
    Investigation of enterprise-wide data systems that support and facilitate data analytics and business intelligence, with a principal focus on data warehouses and related concepts. Additional topics may include the notion of master data management, enterprise resource planning systems, spatial and trajectory data systems, and the semantic web. Applications to various industries are discussed. Includes an introductory overview of SQL.
  
  • QM 7103 Analytics Programming

    (3 Hours)
    Exposes student to popular analytics programming languages.  It introduces essential general programming concepts and techniques necessary for data analytics.  This course includes case studies, examples that are illustrated from real-life problems, and programming tasks often encountered in data analysis.
  
  • QM 7111 Management of Data Analytics Projects

    (1 hour)
    A survey of the contemporary practice of managing Big Data analytics projects in business and industry environments.
  
  • QM 7402 Leading and Managing Analytics Organizations

    (2 hours)
    Survey of leading principles and best practices for leading and managing analytics organizations, including applicable ideas from the areas of organizational models, organizational behavior, change management, personnel management, ethics, governance, and corporate strategy.
  
  • QM 7503 Regression and Statistical Learning

    (3 hours)
    An investigation into the use of regression and related statistical learning approaches to address complex business decisions. Various contemporary methodologies will be presented which will be examined through the use of advanced analytic software. The focus is not only on developing technical expertise but also on leveraging value from data to understand and improve business performance.  Prerequisites: QM 7023  and QM 7020     .  
  
  • QM 7961 Residency

    (1 hour)
    See Graduate Residency (7961)
  
  • QM 7973 Seminar in Quantitative Methods

    (3 hours)
    A critical analysis of selected topics in quantitative analysis. Prerequisite: Permission of instructor.
  
  • QM 7991-3 Independent Study in Quantitative Analysis

    (1-3 hours)
    Open to graduate students who wish to pursue individual study or investigation of a field of quantitative analysis. Students are required to plan their program of study and prepare a formal report of their findings. The field of interest selected for study may not be that investigated in meeting thesis requirements. Prerequisite: Permission of graduate advisor.

Statistics

  
  • STAT 6813 Statistical Methods for Scientists and Engineers

    (3 hours)
    Introduction to probability, random variables and distributions. Statistical inference including point and interval estimation and test of hypotheses. Elementary experimental design. Regression and correlation. Prerequisite: MATH 2024.

Women’s and Gender Studies

  
  • WS 6013 Women and the Law

    (3 hours)
    Women and the Law
  
  • WS 6223 Bestselling Feminisms

    (3 hours)
    Explores mass-mediated ideas, values and beliefs about women’s personal, social, cultural, and political roles from 1960 to the present.  Read and discuss three best-selling books from the 60s (Brown, Friedan, and Andelin) and consider their influence from 1960 to the present.  Using Douglas, we connect these books to other forms of popular media during these same decades, including magazine, movies, news coverage and novels.
  
  • WS 6863 Special Topics in Women’s and Gender Studies I

    (3 hours)
    Advanced study of special issues in Women’s and Gender Studies that enhances, supplements, or extends regular course offerings. May include courses that are occasionally cross-listed with those of other academic units, one-time offerings, and experimental offerings. Prerequisite: WS 2013 or permission of instructor
  
  • WS 7013 Theory and Methodologies

    (3 hours)
    An interdisciplinary study of methods, analyses, and critiques used in Women’s and Gender Studies across a range of traditional disciplines, including history, arts, humanities, sciences, education, health, economics, law, etc. (Taught as Directed Reading.)
  
  • WS 7023 Global Gender Formations

    (3 hours)
    Introduces key concepts, debates, and projects of global and transnational work in Women’s and Gender Studies, including the geographies and temporality that undergird knowledge on global/transnational issues; projects situated in various national and transnational contexts; institutional and policy structures that operate in the name of global women’s rights; and critical responses to economic globalization. (Taught as Directed Reading)
  
  • WS 7033 ProSeminar

    (3 hours)
    Introduction to scholarship in, and the profession of, Women’s and Gender Studies: including coverage of the major theoretical debates and issues in the field and training in academic scholarship and professional demeanor, through a series of increasingly sophisticated written and oral assignments. (Taught as Directed Reading.)
  
  • WS 7611-3 Internship

    (1-3 hours)
    Knowledge and skills in analysis of intersecting categories of social/identity classification applied and developed in approved organization on or off campus (e.g., Family and Children’s center; DVIS; Girl Scouts of NE Oklahoma, etc.); arranged through prior written agreement among student, faculty, supervisor, and sponsoring organization. Internship report by student and Observation report by supervisor required upon completion. Interested students should consult Director of Graduate Studies in WGS. Prerequisites: WS 7013  and WS 7033  
  
  • WS 7863 Special Topics in Women’s and Gender Studies II

    (3 hours)
    Advanced study of special WGS field-specific topics, involving such concepts and practices as interdisciplinarity (e.g., models, case studies, communication patterns), intersectionality (e.g., national or international demographics; global, regional, or local coalitions; intrafamilial patterns), and experiential/connected learning (e.g., best practices, historical developments, pedagogies), not covered in listed courses. (Taught as Directed Reading.)
  
  • WS 7993 Supervised Research

    (3 hours)
    Independent study on a project approved by the Graduate Director. One such project is required of all M.A. students in lieu of a thesis. Prerequisites: WS 7013  and WS 7033  
 

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