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Public Health: Epidemiology I

PH 302 OL1 (CRN: 60330)

3 Credit Hours

About PH 302 OL1

Epidemiology is the study of disease distribution and determinants in populations; we will define populations and estimate the distribution of health-related conditions and their determinants. Pre/co-requisites: Bachelor's degree and college-level mathematics course.


Dates: May 20 - June 14, 2019; Open to graduate-level Public Health students; All other students require instructor permission; Must submit the request at Students will be notified if permission is granted; contact student Advisor, Vika Pleshakova at for any questions.

Section Description

Epidemiology is the study of the cause and spread of disease among a given population. We rarely observe a health risk factor that is both necessary and sufficient to cause a particular disease outcome. Rather, the determinants of disease are often multi-faceted, with many factors remaining unidentified. Epidemiologic methods provide a framework to organize the complex relationships between health risk factors and disease outcomes. This framework allows us to estimate how risk factors affect the overall health of a population and to identify individuals and groups that may be particularly susceptible to disease. Course Learning Objectives • Understand the ideas associated with epidemiologic thinking and causation • Define and describe populations in terms of person, place, and time • Identify disease transmission models and calculate disease frequency • Describe the major types of epidemiologic study design • Assess the strengths and weaknesses of different types of study design • Explain the criteria for assessing causal inference • Calculate measures of risk and apply them to associations between exposure and disease • Calculate the reliability and validity of screening tests • Explain confounding factors, sources of bias, and random error that can inhibit our ability to see an association between exposure and disease

Section Expectation

An undergraduate-level MATH course is a prerequisite for this course.


The course is evaluated on a combination of Problem Sets, Quizzes, Discussions, and a Final Paper.




Online Course (View Campus Map)