QUANTITATIVE METHODS FOR INTERDISCIPLINARY ENGINEERING

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Demonstrate various methods for solving 1st and 2nd order ordinary differential equations (ODEs) and apply them to problems such as heat transfer. Audience: Graduate 2. Employ basic matrix operations for purposes like solving systems of equations, finding determinants, and eigenvalues/eigenvectors for applications such as circuit analysis. Audience: Graduate 3. Choose numerical methodologies best suited for problems such as solving complex integrals or partial differential equations for applications such as fluid flow within extrusion or injection molding. Audience: Graduate 4. Communicate mathematical concepts to a general audience. Audience: Graduate Learning Outcomes: 1. Demonstrate various methods for solving 1st and 2nd order ordinary differential equations (ODEs) and apply them to problems such as heat transfer. Audience: Graduate 2. Employ basic matrix operations for purposes like solving systems of equations, finding determinants, and eigenvalues/eigenvectors for applications such as circuit analysis. Audience: Graduate 3. Choose numerical methodologies best suited for problems such as solving complex integrals or partial differential equations for applications such as fluid flow within extrusion or injection molding. Audience: Graduate 4. Communicate mathematical concepts to a general audience. Audience: Graduate