STAT 517 • Winter 2008

Stochastic Modeling

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Syllabus (revised 1/9/08)

Lectures

Readings

Homework

Programs



Course Objectives:
The student will learn the stochastic theory of epidemics and infectious disease transmission.
This will include the theory of random phenomena that is concerned with the flow of events in time
and space, especially those exhibiting highly variable behavior that can be described by probability
distributions. Specifically, the student will learn to deal with the branching process, random walks,
martingales, Markov processes, Poisson process, birth and death processes as applied to epidemic
theory. There will be an emphasis on learning methods of strong scientific importance as opposed to
purely mathematical theory.

Some lectures will be presented only in class.
 
Instructor:
Ira M. Longini, Jr.
Professor of Biostatistics
 
Credits: 4 hours

Dr. Longini's Assistant:
Rebecca Allen, Rebecca
Hours: M-F, 8:15 am - 4:15 pm
Phone: 206.667.7754
Dr. Longini's UW office hours: by appointment
Office location, HSB F-653
 
Lectures:
T/Th, 1:30 - 3:20 pm Physics & Astronomy Auditorium, A-114
 


NOTICES:
 
–for student will be posted here