Assess the ability to apply Michaelis–Menten and classical inhibition models to estimate kinetic parameters (Vmax, Km, Ki) from enzyme progress-curve data using appropriate fitting approaches (nonlinear regression, initial-rate vs full-curve fitting), discriminate competitive, noncompetitive, and uncompetitive inhibition via model predictions and diagnostic criteria (lineweaver–burk patterns, residuals, confidence intervals, AIC), and interpret limitations related to noise, identifiability, and experimental design.