INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS
Background for professional numerical computation in Linux environments begins with shell scripting and software archiving. Programming skills in a compiled language are then developed through scientific and engineering examples. Engineering problem-solving skills are reinforced through applications that require numerical solutions to systems of differential and/or integral equations, while motivating progressively more advanced computational methods.
Prerequisites & course information
Requisites: ( E P 271 , COMP SCI 220 , or 300 ) and ( MATH 319 , 320 , or 375 ), or graduate/professional standing, or member of Engineering Guest Students Course Designation: Core GenEd - Natural Science & Wellness Breadth - Physical Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Spring 2022 Learning Outcomes: 1. Create UNIX or Linux shell scripts to aid workflow in scientific computing Audience: Undergraduate 2. Formulate physical problems in mathematical and computational terms Audience: Undergraduate 3. Identify software needs for solving numerical models of science and engineering applications Audience: Undergraduate 4. Write and modify computer programs in a compiled programming language Audience: Undergraduate 5. Estimate the accuracy of computed results Audience: Undergraduate Learning Outcomes: 1. Create UNIX or Linux shell scripts to aid workflow in scientific computing Audience: Undergraduate 2. Formulate physical problems in mathematical and computational terms Audience: Undergraduate 3. Identify software needs for solving numerical models of science and engineering applications Audience: Undergraduate 4. Write and modify computer programs in a compiled programming language Audience: Undergraduate 5. Estimate the accuracy of computed results Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027