Labs
All course labs are listed below. Labs will usually be scheduled during Friday class sessions and are intended to completed in the 50 minute time slot, although you may occasionally need extra time.
Lab | Title | Date |
---|---|---|
CEVE 543 Fall 2025 Lab 1: Setup & Hello World | Julia Installation, GitHub Classroom Workflow, and Quarto Basics | Fri., Aug. 29 |
CEVE 543 Fall 2025 Lab 2: Julia Data Handling | DataFrames.jl, Plotting with CairoMakie, TX precipitation datasets, Basic exploratory data analysis | Fri., Sep. 5 |
CEVE 543 Fall 2025 Lab 3: GEV Inference | Estimating GEV parameters and characterizing uncertainty | Fri., Sep. 12 |
CEVE 543 Fall 2025 Lab 4: Bayesian Rainfall Analysis | Iterative prior specification, Bayesian GEV workflow, Two-station comparison with ArviZ.jl | Fri., Sep. 19 |
CEVE 543 Fall 2025 Lab 5: Regional vs Local Parameter Estimation | Single-station vs regional models, Trend estimation, Uncertainty quantification | Fri., Sep. 26 |
CEVE 543 Fall 2025 Lab 6: Why Uncertainty Matters | Extreme values with depth-damage curves, Coastal flood applications, Uncertainty propagation beyond rainfall | Fri., Oct. 3 |
CEVE 543 Fall 2025 Lab 7: Model Implementation and Testing | Hydrological model implementation, time-stepping algorithms, validation strategies | Fri., Oct. 17 |
CEVE 543 Fall 2025 Lab 8: Bayesian Calibration | Turing.jl inference setup, Prior specification for hydro parameters, MCMC sampling and diagnostics | Fri., Oct. 24 |
CEVE 543 Fall 2025 Lab 9: Quantile Mapping Implementation | Empirical and parametric quantile mapping, bias correction validation, correlation preservation challenges | Fri., Oct. 31 |
CEVE 543 Fall 2025 Lab 10: HMM & NHMM Implementation | 2-state HMM implementation, NHMM extensions, climate change scenarios, synthetic weather generation | Fri., Nov. 7 |
CEVE 543 Fall 2025 Lab 11: ML Downscaling Implementation | Neural networks for bias correction, supervised learning approaches, practical ML implementation | Fri., Nov. 14 |
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