BIST611
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Infectious Disease Modelling
Subject
BIST - Biostatistics
Description
Population-level ordinary differential equation models; different compartmental frameworks (SEIR, SIRS, stratified models); stochastic population-level models; Bayesian inference and computation; individual level models; spatial models; network-based models; approximate methods of inference; model-based mitigation methods; disease surveillance methods (time series; spatial models)
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics.
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -B, GFC Hours (3-0)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Units
3
Repeat for Credit
No
Subject code
BIST