Assess graduate students' ability to analyze and quantify sources of systematic error in high-precision experimental measurements, propagate uncertainties using analytical error propagation, covariance matrices, and Monte Carlo methods, distinguish correlated vs uncorrelated contributions, assemble an uncertainty budget, evaluate bias and stability (e.g., calibration, alignment, environmental effects), and propose mitigation and reporting practices aligned with metrology standards.