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
Key Content:
Proposed Lab Changes:
Proposed Website Changes: