Courses Taught by Andrew Brouwer

EPID602: Epidemiologic Data Analysis

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3-4 credit hour(s) for residential students;
  • Instructor(s): Elizabeth Levin-Sparenberg, Andrew Brouwer, (Residential);
  • Offered Every Year
  • Prerequisites: Epid 600, and EPID 639, or permission of the instructor.
  • Description: A practicum in epidemiologic data analysis designed to integrate and apply concepts learned in previous biostatistics and epidemiologic methods courses. Students learn practical skills to analyze and interpret epidemiologic data with continuous and dichotomous outcome variables through lectures and hands-on exercises.
  • Syllabus for EPID602
Elizabeth Levin-Sparenberg
Andrew Brouwer
Concentration Competencies that EPID602 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
EPID General Epidemiology MPH Describe population patterns of health-related risk factors and health-related outcomes in terms of person, place, and time EPID600, EPID602
EPID General Epidemiology MPH Compare the relative strengths and weaknesses of common epidemiologic study designs (e.g., cross-sectional, cohort, case-control, randomized experiments) EPID600, EPID602
EPID General Epidemiology MPH Interpret the impact of bias, confounding, and effect modification on causal inference in epidemiologic research EPID600, EPID602
EPID Clinical Research-Epidemiology MS Analyze research data and interpret these results from a population health or clinical-translational perspective EPID602, BIOSTAT522

EPID703: Applied Infectious Disease Modeling

  • Graduate level
  • Residential
  • Summer term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): Andrew Brouwer (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: Experience with modeling or good quantitative background, including statistics and differential equations; familiarity with R software.
  • Description: Infectious disease modeling is increasingly being used to inform policy, practice, and research. This course will provide an introduction to the epidemiological and mathematical concepts underlying infectious disease modeling as well as the application of these concepts through hands-on model implementation.
Andrew Brouwer