Module Additional Assessment Details
The class test comprises 2 hour tests each weighted at 50% assessing learning outcomes 1, 2 and 3.
Module Indicative Content
Probability rules and Bayes' Theorem.
Standard statistical distributions such as Binomial, Poisson, Normal and Exponential.
Model univariate and bivariate random variables using appropriate probability distributions.
Estimation and hypothesis testing including goodness of fit.
Module Learning Strategies
Core theoretical material will be delivered through lectures (12 hours), while tutorials and computer laboratory sessions (24 hours) will give opportunities to apply techniques to a variety of practical problems.
Module Resources
EXCEL spreadsheet, and a statistical package such as SPSS for Windows.
Module Special Admissions Requirements
Prior study of CE61014-4 Mathematics and Statistics for Computing Students, or CE00819-4 Mathematics for Interactive Computing or CE61015-4 Mathematical Foundations, or CE61010-4 Balancing Maths for Engineering or equivalent.
Module Texts
Background reading:
Grinstead & Snell. 1997, Introduction to Probability, American Mathematical Society, ISBN: 0821807498
Sheldon M. Ross, 2003, Probability Models, Academic Press, ISBN: 125980612