Assess students' ability to apply Michaelis–Menten kinetics and nonlinear regression to noisy enzyme assay datasets: fit the MM model to substrate vs. initial-rate data, select appropriate fitting algorithms and weighting, produce Km and Vmax estimates with confidence intervals, evaluate residuals and goodness-of-fit, contrast results with linearized methods, and justify choices for initial parameter guesses and experimental design.