Course Descriptions
This is a list of some of the previous syllabi, descriptions, and schedules for courses that were offered in previous semesters:
Applied Mathematics Courses
- APPM 1235 - Pre-Calculus for Engineers
- APPM 1340 - Calculus 1 with Algebra, Part A
- APPM 1345 - Calculus 1 with Algebra, Part B
- APPM 1350 - Calculus 1 for Engineers
- APPM 1360 - Calculus 2 for Engineers
- APPM 1390 - A Game for Calculus
- APPM 2350 - Calculus 3 for Engineers
- APPM 2360 - Introduction to Differential Equations with Linear Algebra
- APPM 2450 - Calculus 3 Computer Lab
- APPM 2460 - Differential Equations Computer Lab
- APPM 3010 - Chaos in Dynamical Systems
- APPM 3050 - Scientific Computing in Matlab
- APPM 3170 - Discrete Applied Mathematics
- APPM 3310 - Matrix Methods and Applications
- APPM 3350 - Advanced Engineering Calculus
- APPM 3570 - Applied Probability
- APPM 4350 - Methods in Applied Mathematics: Fourier Series and Boundary Value Problems
- APPM 4440 - Undergraduate Applied Analysis 1
- APPM 4490/5490 - Theory Of Machine Learning
- APPM 4510 - Data Assimilation in High Dimensional Dynamical Systems
- APPM 4565/5565 - Random Graphs
- APPM 4530 - Stochastic Analysis for Finance
- APPM 4650 - Intermediate Numerical Analysis 1
Statistics and Data Science Courses
- STAT 2600 - Introduction to Data Science
- STAT 3100 - Applied Probability
- STAT 3400 - Applied Regression
- STAT 4000 - Statistical Methods and Application I
- STAT 4520 - Introduction to Mathematical Statistics
- STAT 4680 - Statistical Collaboration
- STAT 4700 - Philosophical and Ethical Issues in Statistics