School of Computing and Mathematics  
 
 
MAT-10028 Probability & Operational Research  
Co-ordinator: Mr Neil Turner    Room: MAC2.18, Tel:733739  
Teaching Team:  
Level: 1 Credits: 15 Study Hours: 150  
School Office: Tel: 01782 733075
 
 
 
Programme/Approved Electives for

None

Available as a Free Standing Elective

No

Prerequisites

None

Barred Combinations

None

Description

The first part of this module is an introduction to the axiomatic treatment of probability and to random variables. The second part presents the basic theory of linear programming problems and the Simplex method for solving them.

Aims

The aim of the module is to provide students with an introduction to the mathematics of uncertainty and of decision-making, through the study of probability, random variables and linear programming.


Intended Learning Outcomes

Understand mathematical language pertaining to probability and linear programming.
Will be achieved by assessments: 1, 2

Understand the fundamental concepts related to probability, random variables discrete and continuous distributions, linear programming and the Simplex method.
Will be achieved by assessments: 1, 2

Use the basic concepts and theory to develop mathematical and logical arguments.
Will be achieved by assessments: 1, 2

Use the basic theory and concepts to make judgements and to evaluate different approaches to solving problems.
Will be achieved by assessments: 1, 2


Study hours

36 hours lectures
12 hours Examples Classes
24 hours coursework preparation
78 hours private study


Description of Module Assessment

01: Coursework weighted 30%
Approximately 10 problem sheets set at weekly intervals plus credit for participation in Examples Classes


02: 2 Hour Unseen Exam weighted 70%
Two-hour end of module unseen examination



Version: (1.04S) Created: 04/Jun/2010

This document is the definitive current source of information about this module and supersedes any other information.