AME 20213: Measurements and Data Analysis


CATALOG DATA:
 Introduction to experimental methods used in aerospace and mechanical engineering, including basic instrumentation, data acquisition and data analysis techniques. Embedded microprocessors may be used for data acquisition and/or control. Fall and Spring.

Textbooks:
Measurement and Data Analysis for Engineering and Science, Patrick F. Dunn, First Edition, McGraw-Hill Book Company, 2005

Goals:
This course introduces students to the fundamental techniques of measurements and data analysis, such that they are prepared to plan, conduct, analyze and report the results of an experiment.

Prerequisite:
AME 20211 or AME 20212
, MATH 126, PHYS 10310

Topics:
(1) Role of Experiments

(2) Reporting Methodology
(3) Measurement Systems

(4) Probability and Statistics
(5) Uncertainty Analysis
(6) Signal Characterization and Analysis.

Schedule:
This course meets 3 times a week for 50 minutes each meeting, or twice a week for 75 minutes.

Contribution to Professional Component:
This course focuses on experimentation, which includes data acquisition, analysis and reporting. 80% Engineering Science and 20% Engineering Design.

Contribution to Program Learning Outcomes and Assessment:

Outcome Criterion

Topic

Students’ Previous Knowledge

Direct Measures of Outcome

(b)

able to design and conduct experiments; to analyze and interpret data

mainly didactic experiments with the calculations and plotting of data

laboratory exercises, homework and examinations

(g)

able to communicate effectively – in writing through technical memos and reports

some experience in report writing in Freshman Year and high school

laboratory exercise technical memos and reports

Prepared by: Patrick F. Dunn, May 1, 2006 .

 

Direct comments, questions, and corrections to amedept@nd.edu