Applied Mathematics Minor
The applied mathematics minor is available for students who wish to develop (1) proficiency in modeling real-life problems using mathematics and (2) knowledge of standard, practical analytical and numerical methods for the solution of these models. This minor could be combined with a major in any of the physical, biological, mathematical, or engineering sciences as preparation for a graduate degree in that field or in applied mathematics.
Students are required to take the following courses:
Course Requirements
Lower-Division Courses
Basic calculus sequence:
Upper-Division Courses
Complete one of the following sequences:
Plus one course from each of the following categories:
Probability Theory
| CSE 107 | Probability and Statistics for Engineers | 5 |
| STAT 131 | Introduction to Probability Theory | 5 |
Dynamical Systems:
| AM 114 | Introduction to Dynamical Systems | 5 |
| AM 214 | Applied Dynamical Systems | 5 |
Introduction to Numerical Methods:
| AM 147 | Computational Methods and Applications | 5 |
| PHYS 115 | Computational Physics | 5 |
Partial Differential Equations:
| AM 112 | Introduction to Partial Differential Equations | 5 |
| AM 212A | Applied Partial Differential Equations | 5 |
| PHYS 116C | Mathematical Methods in Physics | 5 |
| MATH 107 | Partial Differential Equations | 5 |
Plus one applied-mathematics elective from the following list:
Applied Mathematics elective:
| AM 107
/PHYS 107
| Introduction to Fluid Dynamics | 5 |
| AM 115 | Stochastic Modeling in Biology | 5 |
| AM 129 | Foundations of Scientific Computing for Scientists and Engineers | 5 |
| AM 198 | Independent Study or Research | 5 |
| AM 212B | Applied Mathematical Methods II | 5 |
| AM 213A | Numerical Linear Algebra | 5 |
| AM 213B | Numerical Methods for the Solution of Differential Equations | 5 |
| AM 215 | Stochastic Modeling in Biology | 5 |
| AM 216 | Stochastic Differential Equations | 5 |
| AM 217 | Introduction to Fluid Dynamics | 5 |
| AM 231 | Nonlinear Control Theory | 5 |
| AM 232 | Applied Optimal Control | 5 |
| AM 250 | An Introduction to High Performance Computing | 5 |
| ECE 103 | Signals and Systems | 5 |
| ECE 115 | Introduction to Solid Mechanics | 5 |
| ECE 141 | Feedback Control Systems | 5 |
| MATH 103A | Complex Analysis | 5 |
| MATH 117 | Advanced Linear Algebra | 5 |
| MATH 121A | Differential Geometry | 5 |
| PHYS 105 | Mechanics | 5 |
| PHYS 139A | Quantum Mechanics I | 5 |
| PHYS 139B | Quantum Mechanics II | 5 |
| PHYS 171
/ASTR 171
| General Relativity, Black Holes, and Cosmology | 5 |
| STAT 132 | Classical and Bayesian Inference | 5 |
Students may also propose other electives which use applied mathematical methods, subject to approval by the department.