Practical methods for analysis and interpretation of research data within chemistry and health sciences. Methods of successive approximation, numerical integration, simultaneous equations, approximate methods in curve fitting, nonlinear regression analysis, smoothing of data interpolation, and numerical differentiation.
2 class hrs
Prerequisites & Notes (Prerequisites: CS 201 and ST 310, or permission of instructor)
(Not offered every year)