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Engineering Systems: Modeling and Simulation
SYSM 6306
Erik Jonsson School of Engineering and Computer Science
This course will present principles of computational modeling and simulation of systems. General topics covered include: parametric and non-parametric modeling; system simulation; parameter estimation, linear regression and least squares; model structure and model validation through simulation; and, numerical issues in systems theory. Techniques covered include methods from numerical linear algebra, nonlinear programming and Monte Carlo simulation, with applications to general engineering systems. Modeling and simulation software is utilized (MATLAB/SIMULINK). 3 credit hours.
Offering Frequency: Each semester
Grades: 19
Median GPA: A
Mean GPA: 3.894
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Engineering Systems: Modeling and Simulation
SYSM 6306
Erik Jonsson School of Engineering and Computer Science
This course will present principles of computational modeling and simulation of systems. General topics covered include: parametric and non-parametric modeling; system simulation; parameter estimation, linear regression and least squares; model structure and model validation through simulation; and, numerical issues in systems theory. Techniques covered include methods from numerical linear algebra, nonlinear programming and Monte Carlo simulation, with applications to general engineering systems. Modeling and simulation software is utilized (MATLAB/SIMULINK). 3 credit hours.
Offering Frequency: Each semester
Grades: 19
Median GPA: A
Mean GPA: 3.894
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