This book explains design and analysis of computer experiments and its importance from an introductory level. The book starts with introducing surrogate models, model variation, calibration and screening and goes on to provide a detailed look at the Gaussian process model and designs for deterministic computer experiments. All major types of experimental design, including Latin hypercube, uniform and sphere packing are featured. Exercises are featured at the end of each chapter along with simulation examples from a variety of areas, including, the finite element analysis model, circuit simulation, weather simulation and the computation fluid dynamics model.