Courses Details

EPID643 Surveillance and Publicly Available Datasets

  • Graduate level
  • Fall term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Mondul, Alison
  • Last offered Fall 2015
  • Prerequisites: EPID 600
  • Description: This course includes an introduction to publicly available datasets and their use in epidemiologic research. Students will be introduced to datasets and will do in-class exercises using these data. This course consists of lectures, in-class exercises, quizzes, and a final written assignment.
  • Course Goals: The goal of this course is to learn about what datasets are publicly available as well as how to access them and conduct analyses using them.
  • Competencies: After completing this class, students are expected to be able to attain the following Epidemiology Department MPH competencies: -Be familiar with basic aspects of field methods in epidemiology (e.g. human subject protection, data collection and management, survey design, sampling strategies, calculating power, and public health surveillance). -Calculate and interpret measures of event frequency (e.g. prevalence, incidence) an measures of association (e.g. odds ratio, relative risk, attributable risk) and be able to articulate the uses and limitations of these measures. -Understand and be able to apply analytical approaches to data from different epidemiologic study designs (e.g. cross-sectional, cohort, randomized studies). -Demonstrate effective communication of epidemiologic findings in written and oral formats.
U-M School of Public Health Courses

We're sorry, the page you were seeking at U-M SPH was not found.

The requested URL may have been:

  • Moved or renamed when our site was updated
  • Mistyped
  • Referred from a website that had an outdated link

We recommend using the search box above, or browsing from the University of Michigan School of Public Health Homepage or viewing our course descriptions.

Contact Information

  • - Admissions and general inquiries
  • - Communications and media inquiries
  • - Technical Support