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Measurement & Experimentation Laboratory

(Complete Item Description)

Abstract:: This course serves as an introduction to working in an engineering laboratory. The student will learn to gather, analyze, interpret, and explain physical measurements for simple engineering systems in which only a few factors need be considered. Upon successful completion of this course, the student will be able to: Interpret and use scientific notation and engineering units to describe physical quantities; Present engineering data and other information in graphical and/or tabular format; Use automated systems for data acquisition and analysis for engineering systems; Work in teams for experiment design, data acquisition, and data analysis; Use elementary concepts of physics to analyze engineering situations and data; Summarize and present experimental design, implementation, and data in written format; Use new technology and resources to design and perform experiments for engineering analysis. (Mechanical Engineering 301)

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: Saylor Foundation

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Probability Density Estimation

(Complete Item Description)

Abstract:: This module covers probability density estimation of signals assuming a knowledge of the first order amplitude distribution of observed signals. It describes Type and Histogram Estimators as well as density verification of the estimates.

Subject:: Mathematics and Statistics, Science and Technology
Grade Level:: Post-secondary
Collection:: Connexions

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Top Keywords

Chi-Squared Probability Distribution Computer Assisted Data Acquisition Data Analysis Density Estimation Electrical Circuits Entropy Experimental Error Force Gaussian Distribution Kullback-Leibler Distance Mean Squared Err Non-Gaussian Distribution Numerical Precision Pressure Scientific Notation Statistics Temperature Torque Type Estimators

Conditions of Use

No Strings Attached
Remix and Share
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Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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