Materials Science and Engineering 2094
Analytic Methods in materials Engineering
(ADP Title: Analytic Methods)

Virginia Tech
College of Engineering

Catalog Description

MSE 2094 : Analytic Methods in Materials Engineering

This course is designed to reinforce the use of computers in engineering problem solving, with emphasis on a variety of problems selected from all areas of Materials Science and Engineering. Emphasis will be placed on the selection of appropriate computational tools, statistical analysis of engineering data, and proper preparation and presentation foresults in professionally accepted written and oral formats.

Prerequisites: EF 1005, EF 2034, or EF 2044.
Co-Requisites: EF 3205 (2H, 2C)

Course Status

Effective date is Spring 1996.

Not available for graduate credit.

Prerequisites & Corequisites:

EF 1005 (Introduction to Engineering), 2034 or 2004 (Elements of Materials Engineering), 3205 (Structure Property Relationships).

These courses provide the necessary background in computer usage, programming, engineering problem solving, and basic Materials Science and Engineering concepts for a proper understanding of the assigned problems.

Justification:

All successful modern engineering careers are inextricably tied to three basic engineering skills: computing, problem solving, and engineering communication. This course is designed to complement EF 1005, MSE 2004 (2034), and MSE 3205 in a way that reinforces and advances the computing and engineering problem solving skills introduced in EF 1005, while building upon the specific Materials Science and Engineering concepts introduced in MSE 2034 (2044).

It will introduce the students to the application of computer calculation and simulation in solving modern MSE problems, and will teach them how to select the appropriate computing tools for a specific problem. It will also introduce the statistical treatment of experimental data, and will emphasize written and oral engineering communication skills in presenting solutions to the engineering problems.

Changes to this course outline will continue to occur without changing basic objectives of the course outline by the fact that the computing hardware and software available to undergraduate engineering students have expanded dramatically, since the last course outline was written, because of access to the Scientific Visual Analysis and Multimedia Laboratories in the College of Engineering.

The 2000 level of this course is justified by the fact that engineering skills introduced in the Engineering Fundamentals program are required to master the course materials. However, the information presented in this course is primarily intended to be used as "tools" in advanced MSE courses taken during the Junior and Senior years.

Learning Objectives

Upon successful completion of this course, the student will be able to:

Instructor

Professor Ronald D. Kriz
120 Patton Hall
231-4386

Texts and Special Teaching Aids

Required texts and computer software:

  1. Glantz, Stanton A., PRIMER OF BIOSTATISTICS, Third Edition, McGraw Hill, New York, 1992, 440 pages.
  2. DOS and Windows
  3. Word processor with an equation editor (e.g., Word for Windows with Math Edit)
  4. Equation solver (e.g., TK!Solver Plus or mathematica)
  5. FORTRAN copiler (e.g., WATFOR77)
  6. Spreadsheep program (e.g., Quattro Pro, Excel, Lotus, etc.)
  7. Scientific plotting package (e.g,. Netscape, simple plotting functions in existing software)

Syllabus

Requirement Percent
Proper preparation of a written engineering document
(word processor, equation editors, and graphics editor)		 20%
Statistical treatment of engineering data (PC-FORTRAN,
UNIX-FORTRAN, MINITAB for Windows)		 20%
Introduction to numerical finite difference methods that
can be used tosolve various boundary value problems encountered
in materials Science and Engineering		 10%
Development of engineering problem solving skills by working
together on a team project that demonstrates analytic and numeric
skills on a particular toic in Materials Science and Engineering
(Diffusion, Phase Diagrams, etc.)		 30%
Proper preparation and presentation of team project on the World
Wide Web using the appropriate computing tool(s):
  • programming languages (FORTRAN, C, IMSL, etc.)
 5%
  • spreadsheets (Excel, Lotus, etc.)
 5%
  • equation solvers (TKSolver, Mathematica, etc.)
 5%
  • visualization discovery and multimedia presentation tools
    (PV-Wave, QUickTIme, PhotoShop, HTML, etc.)
 5%
_____
Total 100%
Revised August 28, 1995

http://ate.cc.vt.edu/eng/materials/classes/MSE2094_NoteBook/MSE2094_syl.html