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340.608.79
Using Big Data for Epidemiologic Research in Health Care

Location:
Internet
Term:
Summer Inst. term
Department:
Epidemiology
Credits:
0.5 credits
Academic Year:
2022 - 2023
Instruction Method:
Synchronous Online
Dates:
Tue 06/14/2022 - Tue 06/14/2022
Class Times:
  • Tuesday,  8:30 - 11:50am
Auditors Allowed:
No
Undergrads Allowed:
No
Grading Restriction:
Pass/Fail
Course Instructors:
Contact:
Morgan Grams
Resources:
Description:

How can we leverage big data to solve real problems in public health? The aim is to inspire public health professionals to measure and interrogate big data sources to improve the health of the population.

Demonstrates a practical approach to big data: where to find it, how to store and analyze it, and why to use it. Provides a technical overview of the utilization of big data with the inclusion of several case examples and inclusion of industry leaders in the application of big data to health care.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Define big data
  2. Identify sources of big data
  3. Enumerate common methods for analysis of big data
  4. Describe potential pitfalls of big data analyses
  5. Form clinical questions that might be answered by big data
Methods of Assessment:

This course is evaluated as follows:

  • 50% Participation
  • 50% Discussion

Instructor Consent:

No consent required