ME 196T - Introduction Test Automation
Course Information
Date I took this class: Spring 2009
Teacher: Kenneth Sprott
Teacher's site: none
Grade earned: A
Book used: LabVIEW 8 Student Edition
By Robert H. Bishop
Information About Teacher
Professor Sprott is, overall, a good teacher.
Sprott teaches the class from basic principles to applications covering a variety of topics.
Sprott has fast paced lectures which are always interesting and applicable to the subject.
Sprott is a practical teacher. He covers the most important topics and demonstrates a number of applications.
Sprott does not regularly assign homework for this class. All those who follow his lecture and review class notes usually pass with A's.
Sprott's exams are based on his lecture.
The LabVIEW text is required and is used for the lab section of class. Reading assignments are given from this text.
Labs - MATLAB
Lab 11-Feb-09 - Filtering and sinusoidal function
Lab 18-Feb-09 - Determining the frequency content of a signal
Lab 4-Mar-09 - Filtering and resample a noisy signal
Lab 11-Mar-09 - Fitting data to a curve
Labs - LabVIEW
Lab 8-April-09 - Two lab assignments (vi format)
Personal Study 10-April-09 - Two lab assignments (vi format)
Lab 22-April-09 - Nine lab assignments (vi format)
Home Work
Home Work 1 - Filtering a noisy signal
In-class
notes on the subject.
The links below are the MATLAB files used to perform the homework.
Low Pass Post-Process Difference Filtering - A low pass filter which is designed to filter data using a difference equation
Low Pass Real Time Difference Filtering - A low pass filter which is designed to filter data in real time using a difference equation
Low Pass Recursion Filtering - A low pass filter which is designed to filter data in real time using a recursion equation
High Pass Recursion Filtering - A high pass filter which is designed to filter data in real time using a recursion equation
Band Pass Recursion Filtering - A band pass filter which is designed to filter data in real time using a recursion equation
Final Project
The Propeller Controlled MiniMover 5.
The MiniMover 5 Project contains detailed information about the hardware, software, and mathematical representations of the MiniMover 5