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 EPI 266
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Mathematical Modeling of Infectious Diseases
EPI 266 Winter 2017 (1.5 unit)




OBJECTIVES

This course is an introduction to concepts of mathematical modeling of infectious diseases. Topics include branching processes and the basic reproduction number, dynamical systems, and methods for data fitting including Markov chain Monte Carlo. At the conclusion of this course, students will:

  • Understand key concepts of epidemic modeling (herd immunity, basic reproduction number, stochastic vs deterministic modeling);
  • Read and assess mathematical models based on their biomedical assumptions;
  • Understand selected methods for fitting mathematical models to data; and
  • Understand how to assess forecasts from mathematical models.
PREREQUISITES

Probability theory or statistics. Exceptions to this prerequisite may be made with the consent of the Course Director, space permitting.

FACULTY

Course Director:

Travis Porco, PhD
Campus Phone: 415-476-4101
email: travis.porco@ucsf.edu


FORMAT

Course content will be delivered through weekly interactive lectures. These will take place on Fridays, 8:45 AM to 10:15 AM, Jan. 13 to Mar. 24.

GRADING

Grading is based on:

  • Class attendance
  • Class participation
  • Written assignments

UCSF Graduate Division Policy on Disabilities

TEXTBOOKS

None

ENROLLMENT

To apply for this course, please fill out and submit the application below. Course fees are covered by the Department of Epidemiology and Biostatistics. The deadline for application is December 23, 2016. Only one application needs to be completed for all courses desired during the quarter.

The application is best completed using the latest version of Firefox, Chrome or Safari.

Application