Module Descriptors
PROBABILITY MODELLING (BA STUTTGART)
MATH50380
Key Facts
Digital, Technology, Innovation and Business
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
- CLASS-TEST weighted at 100%
Module Details
Module Additional Assessment Details
The class test comprises 2 hour tests each weighted at 50% assessing learning outcomes 1, 2 and 3.
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 Texts
Background reading:
Grinstead & Snell. 1997, Introduction to Probability, American Mathematical Society, ISBN: 0821807498
Sheldon M. Ross, 2003, Probability Models, Academic Press, ISBN: 125980612
Grinstead & Snell. 1997, Introduction to Probability, American Mathematical Society, ISBN: 0821807498
Sheldon M. Ross, 2003, Probability Models, Academic Press, ISBN: 125980612
Module Special Admissions Requirements
This module is available to BA Stuttgart students only.
Module Resources
EXCEL spreadsheet, and a statistical package such as SPSS for Windows.
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.
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.