Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers

Ed Gatzke joined the faculty of the Department of Chemical Engineering at the University of South Carolina in 2001. He has received Humboldt Faculty Award, the AIChE Himmelblau Award, and the NSF Career Award. His work considers optimization, modeling, and control of dynamic nonlinear systems. Application areas examined include biomedical systems, particulate systems, energy production systems, and traditional chemical processes. He has served for many years as faculty advisor for the USC Tau Beta Pi chapter, the USC Gamecock Toastmasters club, and the USC Engineering and Computing Living and Learning Community.

List of Examples.- List of Definitions.- Foreword.- Modern Engineering.- Mathematical Fundamentals .- Engineering Modeling.- Computational Problem Solving.- Introduction to MATLAB.- Linear Algebra.- Solving Problems Numerically.- Spreadsheets.- Basic Statistics and Probability.- Linearity.- Forces.- Classes of Numerical Problems.- Introduction to COMSOL.- Tips on Presenting Your Work.- Technical Writing Suggestions.- Lecture Notes.