ECE 60282 - Epidemic Processes

Note:

This is a 1-credit, 5-week course that runs in weeks 6-10. For more information on this course and pre-requisite/subsequent courses, please go to https://sites.google.com/view/philpare/teaching.

Course Details

Lecture Hours: 3 Credits: 1

Areas of Specialization:

  • Automatic Control

Counts as:

  • EE Elective - Special Content
  • CMPE Selective - Special Content

Normally Offered:

Fall - odd years

Campus/Online:

On-campus and online

Requisites:

ECE 60281 Intro to Mathematical Fundamentals for Systems & Control Theory; MA 26500 or MA 26200; PHYS 27200

Requisites by Topic:

Linear algebra, control theory, probability theory, and optimization

Catalog Description:

This course provides a control theory and data science approach to traditional epidemic models. Traditional epidemiological ideas will be explored and combined with probability theory and systems theoretic ideas to be able to capture spread behavior, learn from data, and design mitigation techniques. Namely, the course consists of four modules: 1) Group Virus Models, 2) Solutions and Limiting Behavior, 3) Model Parameter Identification, and 4) Mitigation Algorithms.

Required Text(s):

None.

Recommended Text(s):

  1. Infectious Diseases of Humans: Dynamics and Control , R. M. Anderson and R. May , Oxford University Press , 2010 , ISBN No. 9780198540403

Lecture Outline:

Week Lecture Topics
1-2 Group Virus Models (SIS, SIR, SEIR, etc.)
3 Solutions and Limiting Behavior of Group Virus Models
4 Model Parameter Identification
5 Mitigation Algorithms

Assessment Method:

Exam Quiz Homework