Physical Experiments and Computer Experiments.- Stochastic Process Models for Describing Simulator Output.- Empirical Best Linear Unbiased Prediction for Simulator Output.- Bayesian Inference for Simulator Output.- Space-Filling Designs for Computer Experiments.- Some Criterion-based Experimental Designs.- Sensitivity Analysis and Variable Screening.- Calibration.- Appendix A : List of Notation.- Appendix B: Mathematical Facts.- Appendix C: An Overview of Selected Optimization Algorithms.- Appendix D: An Introduction to Markov Chain Monte Carlo Algorithms.- Appendix E: A Primer on Constructing Quasi-Monte Carlo Sequences. sakriti opis