ENGINEERING PROBLEM SOLVING I
Solution of engineering problems using commercially-available software tools (spreadsheets, symbolic manipulators, and equation solvers). The emphasis will be on nuclear engineering problems, including radioactive decay, nuclear cross sections, scattering, and criticality.
Prerequisites & course information
Requisites: MATH 222 and ( E M A 201 , PHYSICS 201 , 207 , 247 , or concurrent enrollment) or member of Engineering Guest Students Course Designation: Core GenEd - Natural Science & Wellness Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Apply mathematical models to describe engineering problems across an array of disciplines Audience: Undergraduate 2. Implement computational solutions of mathematical models that represent engineering problems Audience: Undergraduate 3. Combine multiple computational problem solving steps for complex problems Audience: Undergraduate 4. Demonstrate a fundamental understanding of data, conditional execution, and loops for basic programming Audience: Undergraduate Learning Outcomes: 1. Apply mathematical models to describe engineering problems across an array of disciplines Audience: Undergraduate 2. Implement computational solutions of mathematical models that represent engineering problems Audience: Undergraduate 3. Combine multiple computational problem solving steps for complex problems Audience: Undergraduate 4. Demonstrate a fundamental understanding of data, conditional execution, and loops for basic programming Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027