This paper discusses the application of Bayesian networks for evaluating evidence in forensic fire investigations, building upon a previous article in the series. It presents two casework examples to demonstrate the practical use of these networks.

These sources mainly outline the scientific principles and experimental methods of bloodstain pattern analysis, a forensic discipline used to reconstruct events at a crime scene.

Raman spectroscopy is a versatile, non-destructive molecular analysis technique that uses laser-based inelastic light scattering to identify organic and inorganic compounds, though its weak signal can be hampered by fluorescence interference.

This resource provides a comprehensive overview of drug classification and scheduling, aiming to enable learners to define drugs and describe various classification methods.

These texts provide a detailed overview of statistical concepts, with a focus on their applications in forensic science.

These sources primarily provide a comprehensive overview of practical crime scene processing and investigation, as well as introductory techniques for forensic science.

These resources primarily provide a comprehensive introduction to Raman spectroscopy, elaborating in detail on its theoretical foundations, including the historical background of the Raman effect, its quantum mechanical description, and the various factors that influence its intensity.

The sources provided discuss five chemical extraction techniques, building upon foundational concepts like partitioning, equilibrium, pH, and acid-base chemistry to explain how compounds are separated.

This is a detailed explanation of the principles and applications of Fourier Transform Infrared (FTIR) spectroscopy.

This episode explore Bayesian networks and their application in forensic science, focusing on evidence interpretation and the organization of complex problems.