Introduction to Dynamic Models in Modern Biology (BIS 132)
- Students from BIS 132, Fall 2004
Mathematics and scientific computation play an important role in virtually all areas of modern biology. When combined with laboratory and field work, these tools can provide insights into structure and function not easily attainable by empirical studies alone. Thus, students at all levels will need to be conversant with quantitative ideas and methods to understand a large corpus of state-of-the-art research in biology.
What's the course like?
If you want to use quantitative tools to answer questions in modern biology, then this course is for you. We will begin by describing a simple biological situation, write equations that describe the situation, and derive a well-known biological model. From there, we will go on to cover various approaches for dynamic modeling in the biological sciences, including matrix models, difference equations, and differential equations and simulation. Biological examples include classic models in ecology, cell biology, physiology, epidemiology, and neuroscience. Throughout, we'll emphasize understanding models, their assumptions, and implications.
How exactly will we do all this?
Students will work with a software program, Mathcad, that facilitates much of the modeling work. Previous experience with Mathcad is not required.
What's required?
- Prerequisites: a year of calculus and a course in biology; more of either would be useful
- Grade based on weekly homework, one midterm exam, modeling project. Scores will be based on demonstration of biological insight gained from modeling and quality of written exposition, as well as on mathematics.
Additional information
- Offered during Fall 2005: BIS 132, CRN 25229, lecture MWF 9-9:50 in Storer 1342, computer laboratory M 11-12:50 in PES 1137 (or by arrangement with the instructor)
- Required for the minor in Quantitative Biology and Bioinformatics
- Can be counted toward the writing experience component of the GE requirement
- Contact the instructor, Carole Hom, at clhom@ucdavis.edu