Courses Details

PUBHLTH383: Data Driven Solutions in Public Health

  • Undergraduate level
  • Residential
  • Winter term(s) for residential students;
  • 4 credit hour(s) for residential students;
  • Instructor(s): Matt Zawistowski (Residential);
  • Prerequisites: STAT250; PUBHLTH 200
  • Description: This course introduces the importance of data in public health, including collection, analysis, interpretations, and dissemination. It provides examples of data used to evaluate public health decisions, policy and resource allocation. It is an introduction to biostatistical and epidemiological methods, informatics, and big data including usage, management and challenges.
  • Learning Objectives: 1)Identify key strategies and methods for obtaining current public health data 2)Explain the use of basic epidemiological methods in study design and implementation to generate new data and metrics to address public health issues 3)Illustrate how analyses and results are used to inform intervention development and influence appropriate public health policies. 4)Apply statistical methods in order to describe data, make inferences and test hypotheses regarding population parameters 5)Apply results from data analyses to explore, define, identify and prioritize public health challenges and solutions
  • Syllabus for PUBHLTH383
Matt Zawistowski