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

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.  

This course will provide students with a strong foundation in public health surveillance of health conditions and risk factors. The course will teach the theory and practice of surveillance supported by many examples of surveillance systems from the developed and developing world. The class will build on and reinforce basic epidemiologic concepts. Students will be given the opportunity to design and evaluate a surveillance system. 

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

This course presents basic statistical concepts and methods commonly used to make evidence-based decisions in business settings, with a focus on healthcare applications. This course will cover commonly used statistical tools needed by healthcare executives. During the course, techniques to collect, summarize, analyze, and interpret business-related data will be reviewed. Topics in this course may include defining and formulating problems, formulating and testing hypotheses, sampling and sampling distributions, creating descriptive statistics, statistical inference and using the results to make decisions. 

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

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.

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

All data and forms to assist faculty in advising. 

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