learning_obj

learning_obj - and convolution, to analyze and predict the...

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Learning Objectives: The S–K–A Scheme Skills What students should be able to do by the time the course is completed. Knowledge What students should know and understand by the time the course is completed. Attitudes For example, how confident students are that they can perform identified skills.
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An Example of Learning Objectives From Professor Steven Hall’s “Signals and Systems” Module in Unified Engineering (16.01-16.04), S ‘04: Students graduating from 16.030/040 will be able to: 1. Demonstrate an understanding of the fundamental properties of linear systems, by explaining the properties to others. 2. Use linear systems tools, especially transform analysis
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Unformatted text preview: and convolution, to analyze and predict the behavior of linear systems 3. Gain an appreciation for the importance of linear systems analysis in aerospace systems. Halls Measurable Outcomes 1. Explain the importance of superposition in the analysis of linear systems (concept test, homework, quiz). 2. Explain the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs. 3. List and apply properties of the unilateral and bilateral Laplace transforms....
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This note was uploaded on 11/11/2011 for the course BIO 7.344 taught by Professor Bobsauer during the Spring '08 term at MIT.

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learning_obj - and convolution, to analyze and predict the...

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