ENGR 242 Experimental Methods

Introduction to the design, characterization, modeling, and analysis of experiments. Basic statistics theory for engineering applications, including probability, confidence intervals, and hypothesis testing. Quantitative uncertainty analysis, covering single and multi-variable systems with incorporation of systematic and random uncertainties for linear and nonlinear equations. Statistics and uncertainty combine in a final unit on design and execution of experiments, with data analysis techniques including regression, numerical approximation, correlation, and sensitivity analysis. Technical writing, computer usage, and presentation of data are emphasized.