INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS

Name: INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS
Availability: OutOfStock
Rating: 4.2 (750 reviews)

EMA/EP 471

과목 설명

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.

선수과목

(EP 271 or COMPSCI 220 ) and (MATH 319 , MATH 320 , MATH 376 or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.3

-2.03% 과거 데이터 대비

수료율

97.92%

0.88% 과거 데이터 대비

A 비율

25%

-45.18% 과거 데이터 대비

학급 규모

15.2% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

PRACTICUM IN FINITE ELEMENTS

EMA 405

Use of finite elements (FE) for solving practical problems in mechanics. Elementary theory of FE is discussed. A commercial computer program is used for applications. Major emphasis is on behavior of FE, modeling, and evaluation of results for correctness.

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.

SPECIAL TOPICS IN ENGINEERING MECHANICS

EMA 601

Selected topics in such areas as structural mechanics, dynamics, experimental mechanics, vibrations, engineering materials, soil mechanics, engineering analysis, rheology, etc.

ENGINEERING ANALYSIS I

EMA/EP 547

Methods of higher mathematics; stress on problem solving rather than rigorous proofs; linear algebra, calculus of variations, Green's function.

INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS

EP 476

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.