Module Descriptors
PROBABILITY AND STATISTICAL MODELLING
MATH50232
Key Facts
Faculty of Computing, Engineering and Sciences
Level 5
15 credits
Contact
Leader: Emily Raeburn
Email: E.Raeburn@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • ASSIGNMENT weighted at 50%
  • CLASS-TEST weighted at 50%
Module Details
Module Additional Assessment Details
An individual assignment involving the collection and analysis of data (Learning outcomes 1, 2, 3 and 4).
Stage class test, 2 hours (Learning outcomes 1 and 2).
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.
(1:n)1 (1:20)2
THIS MODULE WILL NORMALLY RUN IN SEMESTER 2
Module Resources
EXCEL spreadsheet, and a statistical package such as SPSS for Windows.
Module Special Admissions Requirements
Prior study of CE61014-1 Mathematics and Statistics for Computing, or CE61007-1 Quantitative Tools for Computing, or BLB10115-1 Business Skills 2, 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