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Short course

Case Assessment & Interpretation

The role of the forensic scientist may be defined as “The provision of information to help answer questions of importance to investigators and to courts of law.”


Course overview

This course provides an interactive workshop in which the CAI model is explored and tested in both the classroom and in syndicate groups. Using case examples, the course explains the role of Bayes’ Theorem within the CAI model and explores concepts such as the hierarchy of propositions and the distinction between investigative and evaluative modes of working. Pre-course reading on probability theory is provided since many aspects of CAI are probabilistic in nature.  

Course Highlights

  • Inference and the principles of expert opinion
  • Probability theory
  • Bayes’ theorem
  • Working in evaluative mode
  • Formulating propositions
  • Determining expectations
  • Likelihood ratios and strength of evidence
  • The verbal scale
  • The prosecutor’s fallacy
  • The hierarchy of propositions
  • The importance of conditioning information
  • Dealing with “no comment”
  • Reporting considerations - abbreviated outputs
  • Working in investigative mode
  • Forensic strategy setting and strategy updates

Award: CPD
Level: Short Course
Delivery: Campus
Study Mode: Full time
Duration: 5 Days 
Campus: Preston
Start Date: Start dates are varied

Entry requirements

Relevant operational experience.


This course is based in the School of Natural Sciences located in the Faculty of Science and Technology

For information on possible changes to course information, see our essential and important course information

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