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Credit: 1 course unit
Elective course
Catalog
Description:
This is an introductory course in mathematical biology. The emphasis will be on the use of mathematical and computational tools for modeling physical phenomena which arise in the study of biological systems. Possible topics include random walk models of polymers, membrane elasticity, electrodiffusion and excitale systems, single-molecule kinetics, and stochastic models of biochemical networks.
Prerequisites:
BE 324 and BE 350
Textbook(s) and/or Other Required Materials:
Lecture notes will be provided.
Course Objectives:
This course is an elective for advanced undergraduates and is also offered to masters and Ph.D. students. The objective of the course is to provide the student with basic mathematical and computational tools which are useful for modeling biological systems. The course aims to cover a variety of areas, giving the student a broad overview of the applications of modeling in biology.
Topics Covered:
- Random walk models of polymers
- Membrane elasticity
- Electrodiffusion and excitable systems.
- Single-molecule kinetics
- Stochastic models of biological networks
Class/Laboratory Schedule:
Lecture: 3 hrs/week
Contribution
towards Professional Component:
100% Engineering science
Contribution
towards Program Outcomes:
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Multidisciplinary
Ability |
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Problem Solving
Approach |
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Problem Solving
Methods |
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Person(s) Preparing
Description and Date:
John C. Schotland
September 2008
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