COMPUTATIONAL FLUID DYNAMICS
Provides an in-depth introduction to the methods and analysis techniques used in computational solutions of fluid mechanics and heat transfer problems. Model problems are used to study the interaction of physical processes and numerical techniques. Contemporary methods for boundary layers, incompressible viscous flows, and inviscid compressible flows are studied. Finite differences and finite volume techniques are emphasized. Knowledge of programming language such as Python, C++, MATLAB or Java required.
Prerequisites & course information
Requisites: M E 363 , or graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Apply and solve numerical approximations to partial differential equations (PDEs), principally those consisting of the standard forms for elliptic, hyperbolic, and parabolic problems Audience: Both Grad & Undergrad 2. Discretize and solve incompressible fluid mechanics and heat transfer problems Audience: Both Grad & Undergrad 3. Analyze and eradicate sources of numerical stability issues in standard PDEs Audience: Both Grad & Undergrad 4. Analyze and reduce numerical error Audience: Both Grad & Undergrad 5. Apply numerical knowledge to individual projects Audience: Graduate Learning Outcomes: 1. Apply and solve numerical approximations to partial differential equations (PDEs), principally those consisting of the standard forms for elliptic, hyperbolic, and parabolic problems Audience: Both Grad & Undergrad 2. Discretize and solve incompressible fluid mechanics and heat transfer problems Audience: Both Grad & Undergrad 3. Analyze and eradicate sources of numerical stability issues in standard PDEs Audience: Both Grad & Undergrad 4. Analyze and reduce numerical error Audience: Both Grad & Undergrad 5. Apply numerical knowledge to individual projects Audience: Graduate
Sources
- Course catalogue ↗2026-2027