Oscillation, Chaos, and High Performance Computing
Time: Friday, July 16, 9:00 am - noon
Place: Bioinformatics Computer Core Lab (Rm 104), Life Sciences Bldg
Tarynn M. Witten
Audience: Primarily 1st year students
Topics of session
- Understand the underlying concepts of the five scenarios motivating this research simulation.
- Continue to develop the basic ideas behind mathematical modeling/computer
simulation and to move to more complex models of biological systems.
- Continue to understand
the basics of the Maple
programming language for solving differential equations (Maple4Students) and extend that
knowledge into systems of differential equations.
- Understand modeling basics behind some multivariate differential equations models
such as the autocatalytic oscillator, the Hopf BZ-CSTR chaos model, the Rossler Chaotic
Oscillator, and the cyclical neutropenia model.
- Be introduced to some of the more sophisticated modeling concepts such as
chaos, attractors, and stochasticity.
- Be introduced to high performance computing models through a discussion of
modeling the T. cruzi parasite (causal agent of Chagas disease) and a cat
Resources of session
- Notes: None. You will get them as we go in class.
- Papers: Look through the papers. Do not let the mathematics scare you. Just get a
sense of what the papers are attempting to address.
- There are a number of programs we will use today. When you get into class,
download the file Day3Programs.zip. Save it to the desktop folder you
created on Day 1.
- Open up Maple so that it is ready to be used.
Before coming to the session