Courses

Dept Subject Number Credits Course Name
NUR 0053 1 Introduction to Inclusion, Equity and Diversity in Health Care

The purpose of this course is to increase understanding of how health care relates to the concepts of inclusion, equity and diversity.  It will provide an overview of how these concepts influence the health of individuals and populations, and our role in applying them.  We will explore local communities looking at diversity in culture, race, ethnicity, gender, ability, socioeconomics, sexual orientation, and immigration. During this exploration, community strengths and capacity to promote positive change will be presented.  The goals of this course are to increase our value of and advocacy for inclusion, equity and diversity in health care.  Learning activities will support skill development to interact productively with a variety of individuals and groups.  Key components of this course are direct engagement with diverse individuals, self-reflection, and community-engaged learning. 

Dept Subject Number Credits Course Name
NUR 2112 3 Applied Parametric and Non-Parametric Statistics for the Health Sciences 1

This course develops skill in parametric and nonparametric applications of descriptive and inferential statistics to health sciences research. The concept of parametric and non-parametric statistics is covered.  Parametric tests for comparing means include one-sample z and t-tests, and independent and related samples t-tests. Methods for checking parametric test assumptions are presented, and remedies for assumption violations explored, including non-parametric alternatives for these tests. Software for statistical analyses will be introduced along with data examples from health science research.

 

Dept Subject Number Credits Course Name
NUR 2112 3 Applied Parametric and Non-Parametric Statistics for the Health Sciences 1

This course develops skill in parametric and nonparametric applications of descriptive and inferential statistics to health sciences research. The concept of parametric and non-parametric statistics is covered.  Parametric tests for comparing means include one-sample z and t-tests, and independent and related samples t-tests. Methods for checking parametric test assumptions are presented, and remedies for assumption violations explored, including non-parametric alternatives for these tests. Software for statistical analyses will be introduced along with data examples from health science research.

Dept Subject Number Credits Course Name
NUR 2113 3 Applied Parametric and Non-Parametric Statistics for the Health Sciences 2

This course develops skill in parametric and nonparametric statistical applications to factorial designs in health sciences research. Analysis of variance (ANOVA) for normally distributed outcomes is the parametric approach presented. Methods for checking parametric test assumptions are presented, and remedies for assumption violations explored, including non-parametric alternatives for this test including empirical resampling techniques (bootstrapping) and rank-based tests. Software for statistical analyses will be introduced along with data examples from health science research.

 

Dept Subject Number Credits Course Name
NUR 2114 3 Applied Regression for Health Science Research

This course covers classical and more modern regression analysis methods with application to the health sciences. A major focus is simple and multiple linear regression and its underlying assumptions for valid inference.  Remedial strategies will be presented for regression when nonstandard conditions exist. Predictive modeling using nonlinear regression methods, regression trees, and rule-based models will be introduced. Implementation of regression using statistical software will be presented using data examples from health science research.

 

Dept Subject Number Credits Course Name
NURCNS 2853 3 Clinical Emphasis Specialty

This course is designed to develop a comprehensive theoretical and practical foundation for advanced nursing care of adult-gerontology patients with dysfunctions/alterations in the selected area of clinical specialization. The course integrates the pathophysiology of dysfunctions/alterations in the selected area with appropriate diagnostic parameters and management strategies. Aspects of health promotion and maintenance appropriate to these patients and families will also be emphasized.

Dept Subject Number Credits Course Name
NUR 3031 2 Methodologies for Doctor of Nursing Practice Projects

During this course, students develop a proposal appropriate for a Doctor of Nursing Practice (DNP) project.  The evidence-based proposal includes the following components: (a) a focus on a change that directly or indirectly affects health care outcomes, (b) a focus on a system or population/aggregate, (c) an implementation plan in an arena or area of practice, (d) a plan for sustainability, and (e) an evaluation plan that measures processes and/or outcomes (formative or summative).  During this course, students learn to apply the following four methodologies for the development and conduct of a DNP project and future scholarly projects, specifically quality improvement, surveillance, program evaluation, and N of 1.

Dept Subject Number Credits Course Name
NUR 3031D 2 Methodologies for Doctor of Nursing Practice Projects

During this course, students develop a proposal appropriate for a Doctor of Nursing Practice (DNP) project.  The evidence-based proposal includes the following components: (a) a focus on a change that directly or indirectly affects health care outcomes, (b) a focus on a system or population/aggregate, (c) an implementation plan in an arena or area of practice, (d) a plan for sustainability, and (e) an evaluation plan that measures processes and/or outcomes (formative or summative).  During this course, students learn to apply the following four methodologies for the development and conduct of a DNP project and future scholarly projects, specifically quality improvement, surveillance, program evaluation, and N of 1.

Dept Subject Number Credits Course Name
NUR 3032 2 Data Analysis for Doctor of Nursing Practice Projects

This course provides students hands-on experience with the menu-driven statistical software program of Statistical Package for the Social Sciences (SPSS).  Content includes commonly used descriptive and inferential statistics including univariate and multivariate tests, parametric and non-parametric tests, and qualitative description.  Students can analyze and interpret quantitative and qualitative data from their own Doctor of Nursing Practice project dataset or an instructor-provided dataset.

Dept Subject Number Credits Course Name
NUR 3032D 2 Data Analysis for Doctor of Nursing Practice Projects

This course provides students hands-on experience with the menu-driven statistical software program of Statistical Package for the Social Sciences (SPSS).  Content includes commonly used descriptive and inferential statistics including univariate and multivariate tests, parametric and non-parametric tests, and qualitative description.  Students can analyze and interpret quantitative and qualitative data from their own Doctor of Nursing Practice project dataset or an instructor-provided dataset.

Dept Subject Number Credits Course Name
NUR 3052D 1 Manuscript Development

This distance education (synchronous) course focuses on the process of preparing a manuscript for possible publication. Attention is directed toward selecting an appropriate journal, the organization of the paper, relevant legal and ethical issues, single vs. Multiple authorship, refining ones writing skills, and the development and preparation of a manuscript for submission to a peer-reviewed journal.

Dept Subject Number Credits Course Name
NUR 3061 2 Intensive Methods: Advanced Quantitative Methods

This course focuses upon the development of knowledge and skills for building advanced methodologies that can be used in more complex research designs that are conceptually congruent with study purpose and aims.  This course will build on the student’s substantive knowledge in the state of the science of quantitative methods through critical appraisal of methodologies relevant to the field and implications of these methodologies for study design, sample, setting, measurement and plan for analysis. Based upon this appraisal, students will select and construct rigorous methods to investigate problems in their field of study. Emphasis will be on developing knowledge and skills in evaluating, selecting and applying methods that are congruent with the driving theory

Dept Subject Number Credits Course Name
NUR 3062 2 Intensive Methods: Qualitative and Mixed-Methods Research

This course focuses on the development of advanced knowledge and practical skills for applying research approaches that are conceptually and methodologically congruent with the constructivist and dialectic paradigms (combination of qualitative and quantitative inquiry). This course will build upon students’ understanding of the state of the science about phenomena of interest and provide them with the knowledge to determine when the qualitative and mixed methodological approaches are appropriate for moving the science forward. Emphasis will be on promoting knowledge and skills for selecting, applying and evaluating methods that contribute to the development, expansion or integration of theory. The course also provides an overview and opportunity for students to apply and critically appraise various types of qualitative and mixed-methods and their corresponding purposes, settings, sampling, data collection, analysis, verification and integration techniques.

Dept Subject Number Credits Course Name
NUR 3063 3 ntensive Methods: Innovative Design and Methods in Data Science

This course focuses upon the development of knowledge and skills for designing studies using methodologies in data science that are conceptually congruent with study purpose and aims. This course will build on the student’s substantive knowledge in the state of data science through critical appraisal of methodologies relevant to the field, and implications of these methodologies for study design, sample, setting, measurement and plan for analysis of big data. Based upon this appraisal, students will select and construct rigorous methods to investigate problems in their field of study. Emphasis will be on developing knowledge and skills in evaluating, selecting and applying data science methods (at the scale of big data) that are congruent with the driving theory

Dept Subject Number Credits Course Name
NUR 3064 2 State of the Science in Biopsychosocial Research

This course focuses on the concepts, theories, and design of biopsychosocial investigations and develops the ability to apply biopsychosocial concepts to the interpretation and design of biopsychosocial research. Emphasis is placed on interdisciplinary and translational research focused on health outcomes with complex links with and between psychosocial factors, behavior, and physiologic systems such as hormonal, cardiovascular, inflammatory, and genetic systems. The main goal of the course is to enhance the development of foundational knowledge in biopsychosocial investigations that address these links.

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