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.

Credit Hours: 1          Class meets: Wed 12:00 p.m. - 1:00 p.m.     Room: BMR Auditorium          Semester: Fall/Spring

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

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

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

This course provides advanced study of the complex and fragmented delivery systems for providing healthcare in the United States including their origins, defining characteristics and current challenges. 

Credit Hours: 3          Class Meets: Tues., 6-9 p.m.          Rotation: Even          Semester: Spring 2020

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

This course is designed to familiarize students with the history and current applications of social and behavioral sciences as they are applied to public health practice and research. It explores social and behavioral science models, theories, and approaches that inform public health, and their philosophical roots. The course also examines social and behavioral determinants of health equity across the ecological spectrum. Emphasis is placed on critical thinking skills to help students synthesize and utilize information in research and practice. An important contribution of this course is the emphasis on recognizing the contributions of social and behavioral science research and practice to enhance public health.

Credit hours: 3          Class meets: Thurs., 6 - 9 p.m.          Rotation: Even          Semester: Spring 2020

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.          Rotation: ODD          Semester: Spring 2020

This course will develop the foundations of quality and process improvement that lead to higher levels of efficacy, efficiency and effectiveness in health organizations and programs. This course will explore the basis of Quality Improvement (QI) consisting of systematic and continuous actions that lead to measurable improvement in health care services and the health status of targeted patient groups. The methodology of the course will begin with “how things are done now,” considering health care performance as defined by an organization's efficiency and outcome of care, and level of patient satisfaction. Quality is directly linked to an organization's service delivery approach or underlying systems of care throughout the continuum of care. The student will understand that to achieve a different level of performance (i.e., results) and improve quality and efficacy, an organization's current system needs to change. Lastly, this course will focus on a successful QI culture that incorporates the following four key principles: QI work as systems and processes; Focus on patients and community groups, especially rural areas; Focus on being part of the team, and Focus on use of the data and analyses of information.

Credit Hours: 3                   Semester: Fall

This course focuses on disease by organ systems, toxicology, and physical and biological hazards. The course includes discussion questions on the online learning management system and a case scenario.

Credit hours: 3          Class meets: Thurs., 6-9 p.m.          Rotation: ODD          Semester: Spring

Grantsmanship: Getting the Competitive Edge. A slideshow adapted from a PowerPoint presentation given by Dr. Steven Idell to the BMR Faculty on Jan 28, 2003.

Use the enrollment key "Grantsmanship" to self-enroll.

All data and forms to assist faculty in advising.