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Students in BIOT 5101 will present a research paper or their thesis research progress to faculty and peers. Each student enrolled in BIOT 5331 or BIOT 5332 must present a paper of his/her research each semester enrolled as scheduling permits. Seminars are formal PowerPoint presentations. Students in BIOT 6101 will present their thesis research progress to faculty and peers. Each student enrolled in BIOT 6331 or BIOT 6332 must present his/her research each semester enrolled as scheduling permits. The student should have a committee meeting following the seminar. Seminars are formal PowerPoint presentations in preparation for a thesis defense.
- Teacher: Mitsuo Ikebe
- Teacher: Pierre Neuenschwander
This course exposes students to current research published in major scientific journals. Students will learn how to read and interpret methodologies and results published by other scientists. This course will provide the student with a thorough understanding of the strengths and limitations of scientific writing. This course is the first of a two-course sequence and introduces the student to basic organization of scientific papers and how to identify the questions being addressed based on the scientific method.
Credit hours: 1 Class meets: Mon., 12 - 1 p.m. Semester: Spring

- Teacher: Pierre Neuenschwander
The goal of the course is to provide a critical understanding of the relationship between structure and function of biological macromolecules such as proteins and nucleic acids.
Credit Hours: 2 Class meets: Mon., 9 - 11:30 a.m. Semester: Spring
- Teacher: Galina Florova
- Teacher: Pierre Neuenschwander
- Teacher: Amy Tvinnereim
The goal of the course is to provide a critical understanding of the relationship between structure and function of biological macromolecules such as proteins and nucleic acids. The Lab component of this course will give the students hands-on experience in using molecular modeling programs to learn how to manipulate protein structures, performing docking simulations, and graphically display proteins and nucleic acids structures.
Credit Hours: 2 Class Meets: Mondays, 1:30 - 5:30 p.m. Format: Hybrid, labs are f2f or virtual

- Teacher: Vijayakumar Boggaram
- Teacher: Pierre Neuenschwander
Lecture Component. The primary objective of this course is for the student to gain an understanding of the metabolic processes in bacteria, plants and animal cells and how metabolism is affected by enzymes, substrates, other metabolites and by bio-production of commercial products.
Credit Hours: 2 Class meets: Tue., 9 - 11:30 a.m. Semester: Spring
- Teacher: Mitsuo Ikebe
- Teacher: Honglong Ji
- Teacher: Pierre Neuenschwander
- Teacher: Usha Pendurthi
Lab Component. The primary objective of this course is for the student to gain an understanding of the metabolic processes in bacteria, plants and animal cells and how metabolism is affected by enzymes, substrates, other metabolites and by bio-production of commercial products.
Credit Hours: 2 Class meets: Tue 1:30 - 5:30 p.m. Semester: Spring
Format: Hybrid, labs are f2f or virtual
- Teacher: Mitsuo Ikebe
- Teacher: Honglong Ji
- Teacher: Vijaya Lella
- Teacher: Hua Tang
A comprehensive study of protein chemistry applications and techniques as they relate to biotechnology. The topics covered in this course include protein purification, protein characterization, binding studies and proteomics.
Credit hours: 3 Class meets: Fri., 9:00a.m. - 5:00p.m. Semester: Spring
Format: Face to Face

- Teacher: Mitsuo Ikebe
- Teacher: Buka Samten
May be repeated. Research hours spent under the supervision of a research advisor. Students focus on their research project. Each hour of course credit translates into three hours of lab work per week.
Format: Face to face
- Teacher: Anna Kurdowska
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).

- Teacher: Kimberly Elliott
- Teacher: Jessica Escareno
- Teacher: Thomas Maryon
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
- Teacher: Michael Morris
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
- Teacher: Michael Kennedy
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
- Teacher: Kimberly Elliott
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
- Teacher: Jessica Escareno
A required residency/internship provides an opportunity for each student to work in a health administration settings in a position that carries responsibility. A minimum number of hours of effort is expected during the semester to satisfactorily complete the course (as per the instructor).
- Teacher: Patricia Royal
This course examines the structure and functioning of the finance components of the public health system. Public health organizations will be discussed within the context of the financial environment that includes financial management, managerial accounting, revenue cycle management and funding and financial management of grants/contracts. The course also examines key financial tools and analyses for financially related decision making within the principles of strategic management applied to public health organizations amid a dynamic changing environment.
Credit Hours: 3 Class Meets: Tues., 6-9 p.m. Semester: Spring 2021
Format: Fully Online (First week face-to-face or synchronous online; Second week asynchronous online. May require two face-to-face class sessions. Thursday delivery in Richardson from 5:30 - 8:30 p.m. This class alternates with HPEM 6320.

- Professor: Michael Morris
- Teacher: Michael Kennedy
Healthcare professionals benefit from having the knowledge and skills necessary to make informed decisions regarding health services. This course is intended to introduce the foundation of knowledge and skills students need to understand the conceptual and methodological issues of health research methods. Topics include but are not limited to: study conceptualization; research question and hypothesis formation; fundamentals of sampling, observation and measurement; research design and operationalization; secondary data analysis widely used in empirical health services research; interpreting research literature; and the capacity to translate knowledge into action.
Class Meets: Tues., 6 - 9 p.m.
Format: Fully online with first week asynchronous online; second week face-to-face or synchronous online. May require two face-to-face class sessions. Thursday delivery in Richardson 5:30 - 8:30 p.m. This class alternates with HPEM 6310.

- Teacher: Jessica Escareno
Class Meets: Wed., 6 - 9 p.m.
Format: Fully online with first week face-to-face or synchronous online; second week asynchronous online. May require two face-to-face class sessions. This class alternates with PBHL 5330.

- Teacher: Kimberly Elliott
Given the integration of data, community needs and regulation and policy, this course incorporates the elements of healthcare, public health, health information technology and the health insurance sub-industries to develop a framework and analytic methods to improve efficiency, effectiveness and efficacy of the health industry as a whole.
The course will establish an analytic framework, based on data from patients, populations, processes and profitability (4 P's of Health Analytics) utilizing industry, healthcare enterprise and community health data with appropriate tools, methods and approaches to answer community health needs and status, operational, financial and healthcare delivery outcomes questions to support leadership decisions. The course will also include an integrated platform of appropriate analytical and predictive/estimation methods, tools and techniques for enhanced decision making at the strategic and operational levels of the health enterprise for enhanced health status and improved health outcomes of communities served.
Credit Hours: 3 Class Meets: Tues, 5:30 - 8:30 p.m. Semester: Summer
- Teacher: Michael Kennedy
- Teacher: Thomas Maryon
- Teacher: Patricia Royal
This course examines operational issues in healthcare management. Topics include systems analysis, continuous quality improvement and re-engineering, demand forecasting, facility location and design models, decision analysis techniques, linear programming, queuing and waiting models, inventory control models and statistical quality control. The goal is to instill an understanding of the language applications and limitations of quantitative models regarding decision-making and problem-solving in healthcare organizations.
Class Day: Monday, 6 - 9 p.m. Format: Fully Online (First Week Face to Face or Synchronous Online; Second Week Asynchronous Online) May require two Face to Face class sessions.
- Teacher: Michael Kennedy
- Teacher: Leanne Metcalfe

- Teacher: Christian Alvarado
- Teacher: Tonyae Evans
Delivering care to meet the needs of the community, a health organization service requires a strategic approach and an organizational culture that attends to those healthcare needs. This course is designed to familiarize students with the current applications of social and behavioral sciences. It is an overview of health care and public health management and administration, managerial decision making, and the practical knowledge, tools, processes and strategies required to operate successfully with a population health focus by the healthcare organization.
Class Meets: Wed., 6 - 9 p.m.
Format: First week synchronous online, second week asynchronous online, etc., Will coordinate meetings with OEHS 6324, HPEM 6350 and PBHL 5330.

- Professor: Thomas Maryon
- Teacher: Agatha Borne
This course introduces the methods for analyzing biomedical and health-related data using ANOVA methods. The course will involve one-way and two-way ANOVA with fixed and/or random effects and sample size/power calculation. And Logistic and Poisson regression models will also be addressed. The students will learn how to apply SAS procedures PROC POWER, PROC GLM, PROC MIXED, PROC GENMOD, PROC LOGISTIC and PROC GLIMMIX and interpret the results of the analysis. Emphasis will also be placed on the development of critical thinking skills.
Class Meets: Tuesday, 6 - 9 p.m.
Format: First week asynchronous online, second week synchronous online, etc. Will coordinate meetings with HPEM 6310 and HPEM 6320.
- Teacher: Christian Alvarado
- Teacher: Harrison Ndetan
- Teacher: Karan Singh
The course offers an in-depth practical and conceptual approach to fundamental statistics. The course consists of learning a variety of procedures commonly used for testing hypotheses, learning to examine and analyze the data accordingly, and learning to communicate the research results to others. By the end of the course the student will be able to create a database, properly code and screen data and present results (SPSS or another statistical software package); determine and describe the strength of association and direction of relationships between two or more variables by identifying and computing appropriate statistical tests, such as chi-square statistics, correlation coefficients, and linear regression models and by writing up results; examine and present significant mean differences between and within groups by identifying and computing appropriate statistical tests, such as t-tests and analysis of variance models (ANOVA) and by writing up results.
Credit Hours: 3 Class meets: Mon 6 p.m. - 9 p.m. Semester: Spring 2021
Format: First week synchronous online, second asynchronous online, etc. Will coordinate meetings with OEHS 5340 and HPEM 6392

- Teacher: Christian Alvarado
- Teacher: Harrison Ndetan
- Teacher: Cynthia Smith
The course provides a comprehensive introduction and overview to health policy, administration and management with specific emphasis on public health and healthcare organizations that deliver care. An additional focus is on rural communities within the context of health administration. The course context is based on managerial decision making and the practical knowledge, tools, processes and strategies required by organizational management. This course overviews the basics of administration, including public health law, human resources management, budgeting and financing, health information management, performance measurement and improvement, ethics, leadership, communication, media relations, and legislative relations. Emerging areas of public health policy and management are also discussed as contexts to apply practical knowledge, tools, and strategies.
Credit Hours: 3 Class Meets: Wed., 6 - 9 p.m. Semester: Spring 2021
Format: Fully online with first week asynchronous online; second week face-to-face or synchronous online. May require two face-to-face class sessions. This class alternates with HPEM 6350.
- Teacher: Patricia Royal
- Teacher: Valerie Smith
Credit Hours: 3 Class Meets: Mon., 6-9 p.m. Semester: Spring 2021
Format: First asynchronous online, second week synchronous online, et. Will coordinate meetings with PBHL 5317 and HPEM 6392.
- Teacher: Vanessa Casanova
This course is an introductory graduate course that focuses on the impact of chemicals in the environment on global health, including global climate change, energy issues, and the impact on special populations including children, those living in border communities and underserved populations. The impact of global environmental changes on human health will be the focus.
Semester: Spring 2021 Class Meets: Thurs., 6 - 9 p.m.
Format: Online with one face-to-face meeting for presentations.

- Teacher: Cynthia Ball
- Teacher: Vanessa Casanova
- Teacher: Sharon Huff
- Teacher: Larry Lowry
- Teacher: Agatha Borne
- Teacher: Jeffrey Levin
- Teacher: Kent Willis
- Teacher: Meliha Salahuddin
- Teacher: Harrison Ndetan
- Teacher: Carlton Allen
- Teacher: Paul McGaha

- Teacher: Noah Burwell
- Teacher: Lance Parker
- Teacher: Francisco Parra
- Teacher: Kent Willis

- Teacher: Noah Burwell
- Teacher: Chris Goldsmith
- Teacher: Francisco Parra
- Teacher: Kelly Reed
- Teacher: Kent Willis

- Professor: Cynthia Smith
- Teacher: Noah Burwell
- Teacher: Travis Carter
- Teacher: Katie Hall
- Teacher: Lance Parker
- Teacher: Francisco Parra
- Teacher: Kent Willis
- Professor: Noah Burwell
- Professor: Patricia Maddox

- Teacher: Noah Burwell
- Teacher: Francisco Parra
- Teacher: Kent Willis

- Teacher: Noah Burwell
- Teacher: Francisco Parra
- Teacher: Kent Willis
- Professor: Noah Burwell
- Professor: Kent Willis

- Teacher: Noah Burwell
- Teacher: Lance Parker
- Teacher: Francisco Parra
- Teacher: Kent Willis

- Teacher: Toni Bolton
- Teacher: Sonja Bush

- Teacher: Toni Bolton
- Teacher: Sonja Bush

- Professor: Cynthia Smith
- Teacher: Thomas Craig
- Teacher: Lori Fregoso
- Professor: Cynthia Ball
- Professor: Michele Bosworth
- Professor: Noah Burwell
- Professor: Sonja Bush
- Professor: Matt Cope
- Professor: Jerry Ledlow
- Professor: Jeffrey Levin
- Professor: Paul McGaha
- Professor: Pierre Neuenschwander
- Professor: Mickey Slimp
- Professor: Martha Weatherly
- Professor: Kent Willis
- Professor: Cynthia Ball
- Professor: Michele Bosworth
- Professor: Noah Burwell
- Professor: Sonja Bush
- Professor: Matt Cope
- Professor: Jerry Ledlow
- Professor: Paul McGaha
- Professor: Pierre Neuenschwander
- Professor: Mickey Slimp
- Professor: Martha Weatherly
- Teacher: Kent Willis
- Professor: Michele Bosworth
- Professor: Michael Kennedy

- Professor: Travis Carter
- Professor: Katie Hall
- Professor: Joshua Kleam
- Professor: Christina Tuell


- Teacher: ee test
- Teacher: Martha Weatherly
- Professor: Michael Kennedy
- Teacher: Cynthia Smith
- Teacher: Cynthia Smith
- Professor: Amber Quaranta-Leech
- Professor: Cynthia Ball
- Professor: Carl Rowlett
- Professor: Karan Singh
- Professor: Michele Bosworth
- Professor: Travis Carter
- Professor: Carl Rowlett
All data and forms to assist faculty in advising.
Educational Curriculum for the Family Medicine rotations
- Professor: James Menard
- Professor: Patti Olusola
- Professor: Admir Seferovic
- Professor: Robert Tompkins
- Professor: My-Huyen Tran
- Professor: Harrison Ndetan
- Professor: Kevin Moore
- Professor: Kevin Moore
- Professor: Lawrence Crabb
- Professor: Michael Morris
- Professor: Michael Kennedy
- Professor: Pierre Neuenschwander
- Professor: Cynthia Smith
- Professor: Paul McGaha
- Professor: Jessica Escareno
- Professor: Michael Morris
- Professor: Patricia Royal
- Teacher: Kimberly Elliott
- Teacher: Cynthia Smith
The course offers an in-depth practical and conceptual approach to fundamental statistics.The course consists of learning a variety of procedures commonly used for testing hypotheses, learning to examine and analyze the data accordingly, and learning to communicate the research results to others. By the end of the course the student will be able to create a database, properly code and screen data and present results (SPSS or another statistical software package); determine and describe the strength of association and direction of relationships between two or more variables by identifying and computing appropriate statistical tests, such as chi-square statistics, correlation coefficients, and linear regression models and by writing up results; examine and present significant mean differences between and within groups by identifying and computing appropriate statistical tests, such as t-tests and analysis of variance models (ANOVA) and by writing up results.
Credit hours: 3 Class meets: Tue 6 p.m. - 9 p.m. Semester: Spring 2019

- Professor: Cynthia Smith