EL E 367 -
COMPUTER-AIDED DESIGN IN ELECTRICAL ENGINEERING I
Spring Semester 1998
1998 Catalog Data: ELE 367, 368: Computer-Aided Design in Electrical Engineering I, II.
Credit 2,2. Computed-Aided design and analytical procedures in electrical engineering.
Corequisites: EL E 351, ENGR 361, 310.
Textbook: None
Reference: D. C. Dorf, Introduction
to Electric Circuits Third Edition, John Wiley, 1996, P. W. Tuinenqa, SPICE,
Prentice-Hall, 1995, and Kreyszig, Advanced Engineering Mathematics, Seventh
Edition, John Wiley and Sons, Inc., 1993.
Coordinator: Dr. Charles E. Smith, Chair and
Professor of Electrical Engineering and Dr. Ahmed A. Kishk, Professor of Electrical
Engineering.
Goals: The objective of the course sequence is to
provide the junior EE student with practice in analytical and computer-aided design
procedures for electrical engineering. The particular objective of this course is to
enhance the development of the student in the use of the general-purpose digital computers
and the use of CAD programs in the solution of basic circuits for analysis and design, and
the use of currently available engineering support software in the School of Engineering
Computer-Aided-Design (CAD) Laboratory.
Prerequisites by Topic:
- FORTRAN Programming (CSCI 251)
- Circuit Theory (ENGR 360)
- Differential Equations (MATH 353)
Corequisites by Topic:
- Models and Circuits Theory (EL E 351)
- Basic Circuit Practices (ENGR 361)
Topics: Several learning or development processes
take place simultaneously in EL E 367. These are:
- Learning to use the University computing system (UNIX) and PC workstations (DOS, Win
3.11, and Win 95)
- Development of previously learned skills in FORTRAN programming
- Learning to apply elementary numerical analysis techniques to basic circuits
- Learning to utilize selected programs and library subroutines for basic circuit analysis
and design
- Development of analytical skills relative to design and analyze basic circuits
- Development of a series of utility programs to be used for CAD throughout all major EE
courses
- Development of the use of personal computer Windows programs based on Microsoft
Developer Software
- Use of probability and statistics in practical electronic design problems
Topics covered will be:
- Introduction to University computing system and Window based PC's
- FORTRAN review
- Computer-aided design
- Introduction to higher level languages
- Introduction to Microsoft Developer Software
Computer Usage: Programs are assigned to the
student as homework in the following areas:
- Computer graphics: function plots using AXUM for Windows graphics subroutine and
programs
- Programming practice: resistive circuit design and analysis: use of MicroSim Schematics
Capture and PSPICE/PROBE for circuit analysis
- Use of Visual BASIC to create electronic design applications for Microsoft Windows
- Transient analysis and numerical solution of first order DE: use of MicroSim Design Lab
for time domain solutions and compare with analytic solutions (Euler and Runge-Kutta
methods)
- Report preparation and presentation: wordprocessing with Microsoft Office and creation
of WEB page using Microsoft FrontPage
- Numerical integration: computation of average and RMS electrical values using
rectangular, trapezoidal, and Simpson's rule
- Complex arithmetic with Fortran: analysis subroutine for frequency domain analysis and
design
- Use of MicroSim Design Lab circuit analysis subroutine for frequency domain analysis and
design
- Gain Computation: computer plots and graphics for frequency domain design and analysis
using MicroSim Design Lab
- Numerical analysis of polynomials: transfer functions, use of subroutine POLRT, and
Newton-Raphson method to determine roots of equations
- Design for printed Circuit Layout using AutoCAD and PCBOARDS
- Monte Carlo (statistical) analysis in circuit design using MicroSim Design LAB software
In addition to the design project, available time during weekly meetings will be
utilized for films, discussions, and demonstrations of semiconductor and microcircuit
technology and computer aided design and manufacturing techniques.
Estimated ABET Category Content: Engineering Design: 1.5 credit or 75%
Engineering Science: 0.5 credit or 25%
Prepared by: Dr. Charles E. Smith Date: July 16, 1998