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

  This course covers the basic concepts of probability, including counting methods, events, conditional probability, discrete and continuous random variables and their distributions, multivariate distributions, commonly used discrete and continuous distributions, functions of random variables, expectation, variance, covariance, and correlation. Fall. Prerequisite: MATH 2321.

• 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
• 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