Probability theory, basic statistics, population genetics, statistical genetics, parentage testing, use of mixtures, the use of databases. Presenting evidence and results at Court
Evett, I. W ,Weir,B. S. Interpreting DNA evidence - Statistical Genetics for Forensic Scientists. Sinaur Associates Inc, Sunderland, Massachusetts. 1998
Learning Objectives
Students will be prepared to cope with the problem of individualization, by means of DNA evdidence. This in simple and complicated circumstances, also providing well founded reports.
Prerequisites
None
Teaching Methods
Frontal classes, drills and exercises to verify homeworks
Further information
We’ll introduce some specialized software
Type of Assessment
Writtenl examination
Course program
Probability Theory, events, long run frequency, subjective probability, conditional probability. Axioms of probability, The law of total probability, Independence, Bayes theorem. Transfer evidence. Basic statistics. Binomial distribution and its relevance. Poisson, Normal, Multinomial distribution. Induction. Maximum likelihood estimation, Confidence intervals, Bayesian estimation, Testing hypothesis. Population genetics. Ideal populations. Random mating, Disturbing forces, Selection, Mutation Migrations,Heterogeneous Populations. Inbreeding, Four-allele descent measures. Match probabilities, Arbitrary set of alleles, Pairs of loci. Statistical Genetics. Estimating proportions, Effect of population data, Independence testing, Estimating inbreeding coefficients. Parentage testing, Paternity testing with some dfferent evidence availability, Missing person. Mixtures. Victim and suspect, suspect and unknown person, assess the number of contributors. Presenting DNA evidence at Court.