Outside CoursesThere are many courses that prove helpful in the interdisciplinary approach to Biological and Biomedical Sciences and Research. Here we want to list courses that are not sponsored by our program but may prove useful in the pursuit. We will list them as they come to the attention of our program. Spring 2008 CoursesGenomic Analysis
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Dr. Felisa A. Smith
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Dr. Sherry V. Nelson
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This one credit course will explore primary literature in topics related to paleoecology. The class will determine what topics will be discussed at the beginning of the semester. Potential topics include vertebrate paleontology, mass extinctions, macroecology, and climate change, and we encourage students to come to the class with more ideas. We hope to bring in guest instructors from the Department of Earth and Planetary Sciences and the Albuquerque Museum of Natural History. Please join us!

FALL 2007
M W 1:00 - 1:50 pm/ Lab W 9:00 - 11:00 am
Room TBA
CS 151-010
Dr. Melanie Moses
Assistant Professor, Computer Science
This is a special section of CS 151, section 10, where the programming assignments will all be related to biology. This will be a hands on course, with lots of time in lab to ask questions and get comfortable with programming in Matlab. In addition to programming, we'll learn about different ways computers have changed how biologists analyze data and think about science. This is a course on programming and computation, not mathematics, and there are no math prerequisites.
FALL 2007
M W 11:00 - 11:50 pm/ Lab (Tentatively) M 13:00 - 15:00 am
Room TBA
BIO 402/502 (Firefox may not function properly)
Dr. Toolson
Professor, Biology
This course is designed as a broad introduction to the theory and practice of mathematical biology, the course gives students the techniques and tools they need to utilize the contemporary mathematical biology research literature in the context of their own particular academic interests. The lecture portion of the course commences with an introduction to general principles of model construction and analysis, followed by a presentation of linear and nonlinear difference equation-based models of biological systems, then progresses to models involving linear and nonlinear ordinary differential equations. Models are chosen for their broad applicability across levels of biological organization from gene regulation, metabolism and neuron function, to population and community dynamics. Emphasis is placed on qualitative and numerical solution methods, and on highlighting commonalities in the mathematics used to model seemingly disparate systems.
The lab portion of the course is devoted to providing students with a good working knowledge of MATLAB as a programming and simulation tool. This will be facilitated through students' use of MATLAB to work with the models discussed in lecture as well as other models drawn from the mathematical biology literature.