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This course will provide an in-depth study of crime scene procedures including recognition, protection, documentation techniques, and collection of biological and physical evidence; crime scene documentation (photography, crime scene sketching, information gathering, report writing, measurements, fingerprint processing, blood pattern analysis, ballistics, scene search procedures; and reconstructions from evidence and scene patterns), chain of custody. Scene investigations will include burglary, homicide, arson, motor vehicle, and sudden and unexplained death. Throughout the semester students will be provided with journal articles and be expected to read and prepare for discussions.

The element of uncertainty pervades forensic investigations. Statistical and probabilistic tools, once appropriately applied, can aid in providing answers to problems often encountered in the field. Hence, the course is designed to introduce graduate level forensic science students to the fundamental principles and applications of statistics and probability. Specific topics to be covered include descriptive data measures, laws of probability, conditional probability, theoretical probability distributions, statistical inference and evaluation of evidence using likelihood ratios and Bayes' theorem. A blended format of didactic presentations, exercises involving use of statistical software and discussions surrounding relevant published literature and legal debates is geared towards building a deeper understanding of the subject in both professional and research contexts. Assessment will be through in-course assignments and tests as well as a final examination.