Basic Information
Fitting Continuous and Discrete Models to Measured Data and Physical Phenomena. Least-squares Model Fitting, Linear and Nonlinear, Measures For Fit Quality, Statistical Distribution of Fitted Parameters, Uncertainty Range. Monte-calo Carlo Simulation of Fitted Models. Static Model Fit (mechanics), Nonlinear Fit in Mechanics, Heat Transfer and Vibration. Covariance Matrix, Cross- And Auto-correlation, Application For Recovering Motions For Videos. Fourier Transform, Fitting in The Frequency Domain Of Multi-input/output Models. Power Spectral Density. Estimating Frequency Response Under Input and Output Noise. Fitting Discrete Models From Sampled Data, Prediction Error Fit, State-space Model Fit And Extracting Physical Parameters From Fitted Models, Eigenvectors And Eigenvalues. Application to Dynamic and Acoustic Problems, Laboratory Examples.
Faculty: Mechanical Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
34032 - Linear Systems M or 34033 - Numerical Analysis M or 34039 - Experimental Methods Laboratory or 94481 - Int.to Probability and Statistics