Applied computational mathematics is used in many areas, including industry, information technology, healthcare, education, and government. The minor in applied computational mathematics is recommended for students pursuing careers in any of these fields and who wish to enhance their competitiveness.
It covers essential topics such as linear algebra, mathematical modeling, probability, numerical simulation techniques and certifies that the student has successfully applied their mathematical and programming skills to model and analyze problems in engineering, physics, data science, cognitive modeling, finances, or related fields. Total: 6 courses (min 23 credits)
Prerequisite for the minor: Completion of CS 108 Computing Fundamentals and MAT 122 or MAT 152 Calculus 2 with grade C or better.
Requirements:
A. Mathematics (at least 2 courses)
- MAT 280 Linear Algebra MAT 230 or 260 Differential Equations MAT 253 Calculus III
B. Computational Mathematical Modeling (3 courses)
- MAT 335 Mathematical Modeling
- MAT 370 Applied Probability
- MAT 460 Numerical Differential Equations
C. Elective from the list below (max 1 course)
- STA 471 Time Series
- PHY 361 Intermediate Mechanics
- ME 424 Computational Fluid Dynamics
- ME 449 Finite Element Analysis
- MTC 476 Finite Element Applications,
- CS 240 Data Structures and Algorithms
- CS 470 Computer Vision and Image Processing
- CS 495 Artificial Intelligence
Note: Some electives have additional prerequisites. Students from different majors should select courses accordingly.
Additional Requirements At least 12 credit hours must be taken at SUNY Poly. A “C” grade or higher is required for each course of the minor.