Students will learn how to measure the chance of events happening using probabilities and using odds. First, probabilities will be discussed: probability laws, conditional probabilities, independence, Bayes' theorem, and tree diagrams. Second, the approach of measuring chance using odds is considered, and students will see how a balanced view of the strength of the evidence in support of one hypothesis compared with another can be captured by the likelihood ratio.
The binomial and normal distributions will be introduced to assess the probability of different types of evidence occurring by chance.
An overview of genetics will be given so that DNA evidence can be assessed. The evaluation of DNA evidence at a crime scene will be discussed, with emphasis on the choice of a suitable reference population. The use of DNA evidence in paternity and missing persons cases will also be considered.
Additionally, this module provides an introduction to inferential statistics, looking at confidence intervals for a population mean and hypothesis testing.
The Crime Scene Investigation part of the module will look at the procedures used in CSI and the roles of the various staff involved in CSI. Using a variety of types of scene as context the content will include searching, recovering, analysing, and interpreting evidence. There is a laboratory component which will give practical experience of the various procedures followed during a scene examination.
This module will develop a range of graduate attributes, including numeracy skills, problem-solving skills, and the ability to present a clear argument.
- Application of probability and statistics to forensic science
- Use of likelihood ratios to assess evidence
- Evaluation of DNA evidence
- Management of crime scenes
- Integrated recording of crime scene information using software
- Evidence collection from crime scenes
|