The objective of this course is to provide graduate-level students (1) an overview of various experimental designs and problem conceptualization methods used in research and in the real-world environment, and (2) proper and practical statistical methods applicable to multidisciplinary engineering problems with an environmental engineering stress. Fundamental and general statistics concepts will be reviewed in the first week of the session, then progresses into various statistical methods applicable to research/project activities such as experiment/sample design strategies, test of hypotheses, and the analysis aspect including regression and correlation, analysis of variance, nonparametric statistics, and probability distributions. Emphasis will be equally on concepts and applications. Statistical Analysis Systems (SAS) software from an ODU LIONS Unix application server (sol-login.lions.odu.edu) will be heavily used for homework assignments and for the class project. Each student will be using one's own student account in ODU LIONS Unix system for SAS application access both from on-campus and off-campus via Internet.   Please create your own LIONS Unix user account by activating your ODU MIDAS (Monarch IDentification and Authorization System) ASAP -- for more information on MIDAS, please see here. Once you have your LIONS user account created, then review Intro to SAS and Remote Access Guide to LIONS pages first, review example SAS sources, then use sol-login.lions.odu.edu SAS application server to run your SAS source.   Syllabus Course Timeline Assignments Supplementary Intro to SAS SAS Sources Class Project Guideline Introduction to Unix Remote Access Guide to LIONS