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Numerical Methods for Engineers
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ME 352 is a required course for the BSME program, and it is typically taken in the third year. The primary goal is to provide mechanical engineering majors with a basic knowledge of numerical methods including: root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, and numerical solution to ordinary differential equations. MATLAB is the software environment used for implementation and application of these numerical methods. The numerical techniques learned in this course enable students to work with mathematical models of technology and systems.
Course: ME 352 (Mechanical Engineering)
Professor: Gerald Recktenwald
University: Portland State University
Prerequisites:
Sophomore course in Differential Equations, Sophomore Course in linear algebra
The curriculum material includes:
- Course outline
- Lecture slides
- Homework problems / projects
- Required/recommended textbook
- Downloadable M-files and PDF files
http://web.cecs.pdx.edu/~gerry/class/ME352/
Submitted Jan 23, 2008
by Gerald Recktenwald
Updated Mar 12, 2008
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Total Visits: 3164
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ME 313: Dynamic Modeling of Engineering Systems (Undergraduate 3rd year)
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This course teaches the modeling of dynamic mechanical, electrical, thermal and fluid systems. Model formation in input-output and state variable formats will be taught, in addition to numerical simulation of dynamic systems and analytical solutions of 1st and 2nd order models; transient; and frequency response behavior.
Professor: Michael J. Anderson
Department: Mechanical Engineering
University: University of Idaho
Textbooks: Shearer, J.L., Kulakowski, B.T., Gardner, J.F., Dynamic Modeling and Control of Engineering System. Prentice Hall, 1997.
http://calvin.engr.uidaho.edu/~anderson/me313.htm
Submitted Aug 23, 2007
by Michael J. Anderson
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Total Visits: 364
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Feedback Control Experiments - Experiments for feedback control education and research
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Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
http://www.mathworks.com/products/connections/product_main.shtml?prod_id=142
Submitted Mar 13, 2008
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Total Visits: 90
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