Pre-Requisites: AEPI 530D or AEPI 540D as prerequisite or by special permission to enroll. People who manage disease, injury, or disability prevention and control programs have an ongoing need for reliable information about the status of these health problems among the populations they serve. The process that public health agencies use to collect, manage, analyze, interpret, and disseminate this information is called surveillance. This course aims to provide the mid-career learner with the tools needed to design and manage a surveillance system and to be a critical and informed user of surveillance data.

? Pre-Requisites: PRS 500D as prerequisite or by special permission to enroll. This class will provide an introduction to the principles of epidemiology, including 1) the use of descriptive measures to describe the health of populations or groups of people, 2) approaches to assessing potential associations between personal characteristics, behaviors, or exposures and the occurrence of disease or other adverse health outcomes, 3) the basics of study design, including case-control studies and cohort studies and attendant approaches to defining case or exposure status.

Pre-Requisites: BIOS 516D and AEPI 530D as prerequisites or by special permission to enroll. This course is an introduction to the SAS programming environment. This is an applied computer course that instructs students in the techniques needed to enter data into a database and properly read and process data into a final dataset that is ready for epidemiologic analysis.

Pre-Requisites: AEPI 530D, AEPI 534D, AEPI 536D, AEPI 537D, BIOS 516D, BIOS 517D, BIOS 518D as prerequisites or special permission. The purpose of this course is to prepare the student for actual analysis of epidemiologic data from case-control or cohort studies. It demonstrates, and gives the student an opportunity to explore, the methods taught in the epidemiology methods sequence. The student will develop a hypothesis, and test it using an epidemiologic database with stratified analysis and logistic regression techniques. The student also will use conditional logistic regression. It is expected that this course will help prepare Executive MPH students for analyzing their thesis data.

Pre-Requisites: AEPI 530D, AEPI 534D, AEPI 536D, BIOS 516D, BIOS 517D as prerequisites or special permission. This course will provide a survey of topics in applied epidemiology, including chronic disease, infectious disease, and maternal and child health. This course builds on students? foundation in epidemiologic methods and concepts and introduces them to selected public health issues. This course introduces students to the epidemiologic and research challenges and current and future public health action across a variety of applied epidemiological issues, including chronic disease, infectious disease and maternal and child health. Research design and analysis are not the primary focus of the course, but methodological issues are considered when pertinent to the interpretation of findings.

Pre-Requisites: AEPI 530D, AEPI 534D, AEPI 536D, BIOS 516D, BIOS 517D, BIOS 518D as prerequisites or special permission. Advanced Modeling will cover multivariate methods for analyzing epidemiologic data that involve examining associations between exposures and outcomes for which the outcome data are the time to an event, event rates, or a count of events. The course covers survival analysis and Poisson regression.

Provides the opportunity to pursue a specialized course of study in an area of special interest.

Pre-Requisites: AEPI 530D, AEPI 534D, AEPI 536D, BIOS 516D, BIOS 517D, BIOS 518D, PRS 502D as prerequisites or special permission. Provides an opportunity to integrate the content and skills learned in the academic setting through participation in scholarly research or other culminating project.

Pre-Requisites: PRS 500D as prerequisite or special permission required to enroll. This course introduces the mid-career learner to the emerging field of public health informatics through an overview of public health informatics areas of focus, information management techniques, and key information technology principles. The course enables participants to apply the technologies and methodologies available to improve the use and management of information for problem solving and decision making. Topics include types of data resources available, evaluating data in its context, and ways that the data may be used to affect outcomes. The course is designed for public health professionals and assumes no background in information technologists or public health informatics. [Applied Public Health Informatics students take APHI 520D instead of APHI 501D.]

Provides the opportunity to pursue a specialized course of study in an area of special interest.