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
• 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

  An introduction to the theory and applications of stochastic processes.  Topics may include Poisson processes, random walks, Markov chains in discrete and continuous time, branching processes, queueing systems, and Brownian motion.  Fall, alternate years.  Prerequisite: MATH 3320 or 3334 or consent of instructor.

• 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