Can we anticipate the effects that genetic variation will have on the future of a species? How can we predict the spread of an impending epidemic? How many fish will be in the ocean next year? Mathematical models liberate biologists from only being able to draw inferences from what we can directly observe, and these models allow us to develop a deeper understanding of complex systems. In this course students will develop skills in conceptualizing, writing, programming, and interpreting results from biological models through theoretical examples and laboratory exercises.

Units: 1.25

Max Enrollment: 14

Prerequisites: (BISC 110, BISC 110P, BISC 112, BISC 112Y, or BISC 116) or (BISC 111, BISC 111T, BISC 113, or BISC 113Y) and MATH 116 (or equivalent); or permission of the instructor.

Instructor: Staff

Distribution Requirements: MM - Mathematical Modeling and Problem Solving; LAB - Natural and Physical Sciences Laboratory; NPS - Natural and Physical Sciences

Typical Periods Offered: Spring

Semesters Offered this Academic Year: Not Offered

Notes: