Course Descriptions

• 1190 - Putnam Exam Seminar
• 1301 - PreCalculus
• 1307 - Calculus I for Life and Social Sciences
• 1308 - Calculus II for Life and Social Sciences
• 1310 - Mathematics for Decision Making
• 1311 - Calculus I
• 1312 - Calculus II
• 1320 - Statistical Methods
• 2303 - Math for Elementary School Teachers
• 2321 - Calculus III
• 2324 - Numerical Calculus
• 3310 - Mathematical Models in Life Sciences
• 3311 - Probabilistic Models in Life Sciences
• 3323 - Linear Algebra
• 3326 - Introduction to Abstract Mathematics
• 3334 - Probability
• 3335 - Mathematical Statistics
• 3336 - Differential Equations & Linear Algebra
• 3338 - Mathematical Modeling

  Formulation, analysis, and interpretation of models arising in the life, physical, or social sciences. The actual source for the models will depend upon the interests of the instructor. Mathematical topics will include one or more of the following areas: linear algebra, differential equations, difference equations, numerical analysis, statistics, stochastic processes, and optimization. Fall. Prerequisites: MATH 3323, 3336, knowledge of computer programming or permission of the instructor.

• 3341 - Number Theory I
• 3343 - Combinatorics I
• 3351 - Numerical Analysis I & II
• 3355 - Non-Euclidean Geometry
• 3357 - Partial Differential Equations
• 3359 - Difference Equations
• 3360 - Real Analysis I
• 3362 - Modern Algebra I
• 3366 - Differential Equations
• 3x90 - Reading and Conference
• 4324 - Linear Algebra II
• 4336 - Stochastic Processes
• 4342 - Number Theory II
• 4344 - Combinatorics II
• 4361 - Real Analysis II
• 4363 - Modern Algebra II
• 4364 - Theory of Complex Variables
• 4365 - Topology
• 4367 - Dynamical Systems
• 4391 - Special Topics
• 2094 - Major's Seminar
• 3194 - Junior Writing Workshop Seminar
• 4394 - Senior Project
• 4398/4399 - Honors Thesis