IB104-12 Mathematical Programming I
Introductory description
At the end of the module students will be able to recognise, formulate and solve practical resource allocation and planning problems. Module members will also be able to identify the limitations of the approaches. This module serves as a prerequisite for further modules in integer and non-linear programming, which are available to students in their second and final years.
Module aims
At the end of the module students will be able to recognise, formulate and solve practical resource allocation and planning problems. Module members will also be able to identify the limitations of the approaches. This module serves as a prerequisite for further modules in integer and non-linear programming, which are available to students in their second and final years.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Introduction to Operational Research
Introduction to Linear Programming
Introduction to basic algorithms for solving linear programming problems
Practical computer work using a Linear Programming computer package
Formulation methods and Interpretation of solutions
Distribution / transportation models
Introduction to Game Theory
Learning outcomes
By the end of the module, students should be able to:
- Recognise, formulate and solve (using MP software) practical resource allocation and planning problems.
Subject specific skills
Analytically solve linear optimisation problems
Transferable skills
Model a business optimisation problem in a suitable mathematical form and interpret optimal mathematical solutions in the business context.
Study time
Type | Required |
---|---|
Lectures | 20 sessions of 1 hour (10%) |
Seminars | 5 sessions of 1 hour (3%) |
Private study | 95 hours (49%) |
Assessment | 73 hours (38%) |
Total | 193 hours |
Private study description
Private Study.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group B
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Assessment component |
|||
Online Examination | 100% | 57 hours | No |
Exam ~Platforms - AEP
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Reassessment component is the same |
Feedback on assessment
Feedback via my.wbs.
Post-requisite modules
If you pass this module, you can take:
- IB3J2-15 Decision Making under Uncertainty
- IB411-15 Decision Making under Uncertainty
- IB352-15 Applied Optimization Methods
- IB207-12 Mathematical Programming II
- IB3K2-15 Financial Optimisation
Courses
This module is Core for:
-
USTA-G302 Undergraduate Data Science
- Year 1 of G302 Data Science
- Year 1 of G302 Data Science
- Year 1 of USTA-G304 Undergraduate Data Science (MSci)
-
USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics
- Year 1 of Y602 Mathematics,Operational Research,Stats,Economics
- Year 1 of Y602 Mathematics,Operational Research,Stats,Economics
This module is Core optional for:
-
USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 1 of G30A Master of Maths, Op.Res, Stats & Economics (Actuarial and Financial Mathematics Stream)
- Year 1 of G30J Master of Maths, Op.Res, Stats & Economics (Data Analysis Stream)
- Year 1 of G30B Master of Maths, Op.Res, Stats & Economics (Econometrics and Mathematical Economics Stream)
- Year 1 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
- Year 1 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
- Year 1 of G30D Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
- Year 1 of G300 Mathematics, Operational Research, Statistics and Economics
- Year 1 of G300 Mathematics, Operational Research, Statistics and Economics
- Year 1 of G300 Mathematics, Operational Research, Statistics and Economics