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Description
Key Content:
- Comparison of one and two-state models
- Practice regression and uncertainty analysis
- Two-state model will be used throughout the semester
Proposed Lab Changes:
- Pre-lab assignment: regress two-state model to step test data (Lab 1)
- Perform sine wave experiment
- Repeat one and two-state model estimates with sine wave
- Compare uncertainty in estimates parameters across two data sets (step, sine wave) and two models (one and two states)
- Calculate mean squared error and absolute squared error
- Modify discussion questions to streamline grading
Proposed Website Changes:
- Tutorial on Fisher information matrix and eigendecomposition, practical identifiability
- Show in lecture four comparisons (see above) using data generated from the TCLab digital twin
- Tutorial on maximum likelihood estimation (?)
- Tutorial on AIC and model selection
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