ULTERIORI ATTIVITA' FORMATIVE

3 CFU - 1° Semester

Teaching Staff

SEBASTIANO BATTIATO


Learning Objectives

The MEANS (Analytics-forensics methods, for scientific investigations) course provides students with the skills related to application of scientific methodologies in forensic investigations. Students will develop the skills necessary to an understanding of the processes required to obtain reliable information using experimental data. Emphasis is placed on concepts and principles that explain the uses and pitfalls of scientific data and on the development of the knowledge and skills required for the treatment of data in the chemistry, informatics and physics for forensic investigations.

 

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.


Course Structure

Lectures and case studies.



Detailed Course Content

The course is organized in modules as specified below:

COMPUTER SCIENCE Module

  1. Crime Scene from digital point of view

  2. Digital Forensics Basis

  3. Video Surveillance systems

CHEMISTRY module

  1. Introduction to the main analytical techniques applied to forensic chemistry.

  2. Detection of latent fingerprints

  3. Chemical analysis of drugs (narco tests)

  4. Crime scene sampling techniques

PHYSICS module

  1. The luminescence to lighting the invisible world of crime scenes

  2. Application of the Infrared-based technologies in Forensic Sciences

  3. Spectroscopic Techniques in Forensics

  4. Gunshot residue (GSR).



Textbook Information

JaVed I. Khan, Thomas J. Kennedy, Donnell R. Christian, Jr.: Basic Principles of Forensic Chemistry. Humana Press.

William Hunter, Solving Crimes with Physics (Forensics, the Science of Crime-Solving) Library Binding, 2005

Evgeny Katz, Jan Halámek, Forensic Science: A Multidisciplinary Approach, Wiley, 2016

John Sammons The Basics of Digital Forensics: The Primer for Getting Started in Digital Forensics - Syngress; 1 edition (2012)




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