|  |  Course Descriptions 
    1190 - Putnam Exam Seminar1301 - PreCalculus1307 - Calculus I for Life and Social 
	Sciences 1308 - Calculus II for Life and Social 
	Sciences 1310 - Mathematics for Decision 
	Making1311 - Calculus I1312 - Calculus II1320 - Statistical Methods2303 - Math for Elementary School 
	Teachers 2321 - Calculus III2324 - Numerical Calculus3310 - Mathematical Models
	in Life Sciences 
	
	The course is designed to introduce basic tools to study
	mathematical models in the life sciences including their
	practical applications.  Th focus will be on understanding
	the prcess, implications, and results of modeling phenomena in
	life sciences in the laboratory setting of field.  The course
	investigates exponential growth and logistic models, cooperative,
	competitive, and predator-prey models, harvesting models, and
	epidemiological models.  The integrated laboratory experience
	consists of several experiments on model organisms such as
	bacteria, flour beetles (Tribolium), protists, and duckweed.
	In addition, human epidemiological data will also be utilized.
	Offered every fall semester. Prerequisite: MATH 1307 or 1311.
	3311 - Probabilistic Models
	in Life Sciences 3323 - Linear Algebra3326 - Introduction to Abstract 
	Mathematics3334 - Probability3335 - Mathematical Statistics3336 - Differential 
	Equations & Linear Algebra3338 - Mathematical Modeling3341 - Number Theory I3343 - Combinatorics I3351 - Numerical Analysis 
	I & II3355 - Non-Euclidean Geometry3357 - Partial Differential Equations3359 - Difference Equations3360 - Real Analysis I3362 - Modern Algebra I3366 - Differential Equations3x90 - Reading and 
	Conference4324 - Linear Algebra II4336 - Stochastic Processes4342 - Number Theory II4344 - Combinatorics II4361 - Real Analysis II4363 - Modern Algebra II4364 - Theory of Complex Variables4365 - Topology4367 - Dynamical Systems4391 - Special Topics2094 - Major's Seminar3194 - Junior Writing Workshop Seminar4394 - Senior Project4398/4399 - Honors Thesis 
 |