Biomedical Engineering 588

Submitted by gsweet on Fri, 2016-03-11 22:18

This course is for scientists, engineers, and clinicians to understand and interpret various relevant global and regional quality systems for traditional and cutting edge global health technologies, solutions and their implementation. Speakers from academia, the FDA, and biomedical related industries will be invited to participate in teaching this course.

Cross-listed with Chemical Engineering 588.

Epidemiology 505

Submitted by gsweet on Mon, 2018-09-17 14:59

This course provides an opportunity for students to become familiar with the concept that humans contain more than just an organized assemblage of mammalian cells. In addition to our human cells, there are numerous microbial inhabitants- many are bacteria. Indeed, on a per-cell basis, these bacteria outnumber human cells by at least an order of magnitude. How resident bacteria interact with one another and with transient (often pathogenic) bacterial species is important to understand because these interactions can promote health or potentially aid the transition towards disease.

Business Administration 620

Submitted by gsweet on Sat, 2020-10-10 16:00

Healthcare delivery in low- and middle-income countries (LMICs) is influenced by a number of factors such as provider expertise, patient trust, access, financing, medication/treatment availability, policies, and evolving technologies. Some components vary from culture to culture, while others remain constant. Improvements in healthcare delivery in these countries will rely on a good understanding of the various disciplinary approaches to care and how they can vary between cultures.

Technology and Operations 411

Submitted by gsweet on Sun, 2016-09-25 10:43

Spreadsheets are among the most widely used decision support tools in business today, and have advanced to the point of providing powerful, general-purpose functionally.  The first half of the course introduces decision support modeling using spreadsheets, including:  what-if analysis; financial, statistical, and time/date functions; graphical presentation of data; organizing and extracting information from spreadsheet databases; and cross-tabulation of data.  The second half of the course includes importing information into spreadsheets from external sources; goal seeking; one and two way

Physiology 541

Submitted by gsweet on Thu, 2018-11-15 11:31

An introduction to the mammalian reproductive physiology for PhD, MS and senior undergraduate students who are considering a career in the biomedical sciences. 

*Cross listed with Psychology 532

Health Behavior Health Education 617

Submitted by gsweet on Sun, 2021-01-10 12:30

In this course, we discuss globalization and health, major actors/organizations in global health, global health inequities, and "hot topics" in global health. This course is designed to help students critically think about how to apply key concepts and skills in health behavior and health education to understanding global health issues.

Pharmaceutical Sciences 706

Submitted by gsweet on Sun, 2016-09-25 10:47

In 2016 the top selling drugs are monoclonal antibodies, and half of the new drugs approved are biopharmaceuticals and numerous biosimilars are being developed.  This class is about how biologic drugs are discovered, manufactured, formulated, analyzed, developed and regulated - now essential information for scientists seeking careers in the pharmaceutical industry. 

Pharmaceutical Sciences 420

Submitted by gsweet on Thu, 2018-11-15 12:43

This course will cover all aspects related to the medicinal use of Cannabis, focusing on different perspectives offered by lecturers with highly relevant, related expertise. Lecturers will include local scientists and physicians, Medical Cannabis doctors, dispensary owners, Cannabis lawyers, politicians, and students who are pursuing Cannabis-related careers. 

Epidemiology 674

Submitted by gsweet on Sun, 2021-01-10 12:37

This course will introduce the R statistical programming language for epidemiologic data analysis.  This course will focus on core basics of organizing, managing, and manipulating data; basic graphic in R; and descriptive methods and regression models widely used in epidemiology.

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