We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS

EMA/EP 476
Course Description

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.

Prerequisties

(EP 271 , COMPSCI 300 , or COMPSCI 310 ) and (MATH 319 , MATH 320 , or MATH 375 ), or graduate/professional standing, or member of Engineering Guest Students

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
Not Reported

Could not calculate change

Completion Rate
Not Reported

Could not calculate change

A Rate
Not Reported

Could not calculate change

Class Size
Not Reported

No change from Historical

No data available

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Similar Courses

ENGINEERING PROBLEM SOLVING I

EP 271

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.

COMPUTING CONCEPTS FOR APPLICATIONS IN ENGINEERING

ME 459

An overview of computing concepts that support modeling and simulation in engineering applications. Learn the basics of computer architecture, software development and the interplay between software and hardware components.

HIGH PERFORMANCE COMPUTING FOR APPLICATIONS IN ENGINEERING

COMPSCI/ECE/EMA/EP/ME 759

An overview of hardware and software solutions that enable the use of advanced computing in tackling computationally intensive Engineering problems. Hands-on learning promoted through programming assignments that leverage emerging hardware architectures and use parallel computing programming languages. Students are strongly encourage to have completed COMP SCI 367 orCOMP SCI 400or to have equivalent experience.

INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS

EMA/EP 471

Use of computational tools for the solution of problems encountered in engineering physics applications. Topics covered include orbital mechanics, structural vibrations, beam and plate deformations, heat transfer, neutron diffusion, and criticality. Emphasis will be on modeling, choice of appropriate algorithms, and model validation.

METHODS OF COMPUTATIONAL MATHEMATICS II

COMPSCI/MATH 715

Introduction to spectral methods (Fourier, Chebyshev, Fast Fourier Transform), finite element methods (Galerkin methods, energy estimates and error analysis), and mesh-free methods (Monte-Carlo, smoothed-particle hydrodynamics) for solving partial differential equations. Applications from science and engineering. Applications from science and engineering. Students are strongly encouraged to have programming skills (e.g.COMP SCI 200), undergraduate numerical analysis (e.g.MATH/​COMP SCI  514orCOMP SCI 412), analysis (MATH 322and521) and linear algebra (e.g.MATH 341or equiv.)