Statistical Methods for OR Modelling

Module overview

The main aim of the module is to provide the students with necessary knowledge of statistics and stochastic processes to carry out simple statistical procedures and to be able to develop simulation and other models widely employed in OR. The model is split into two parts: Statistics and Stochastic Processes. One of the pre-requisites for MATH6158

Learning and Teaching

Teaching and learning methods

Twenty-two 2-hour lectures Eleven 1-hour problem class sessions

Study time
Type	Hours
Teaching	64
Independent Study	86
Total study time	150

Resources & Reading list

Textbooks

DR Stirzaker (2005). Stochastic Processes and Models. Oxford University Press.

DLP Minh (2001). Applied Probability Models (core text). Duxbury.

RE Walpole & RH Mayers (1972). Probability and Statistics for Engineers and Scientists. Macmillan.

PG Hoel (1947). Introduction to Mathematical Statistics. Wiley.

PS Mann (2006). Introductory Statistics. John Wiley & Sons.

Assessment

Assessment strategy

The summative coursework will be on Statistics (one individual assignment that includes production of a poster). Referral/repeat assessment is by both examination and coursework, but if a pass is obtained in the original coursework, the coursework mark will be carried forward without possibility of referral/repeat.

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Closed book Examination	70%
Coursework	30%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Examination	70%
Coursework	30%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Coursework	30%
Closed book Examination	70%

Repeat Information

Repeat type: Internal & External