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Throughout the 2021-22 academic year, we will be prioritising face to face teaching as part of a blended learning approach that builds on the lessons learned over the course of the Coronavirus pandemic. Teaching will vary between online and on-campus delivery through the year, and you should read guidance from the academic department for details of how this will work for a particular module. You can find out more about the University’s overall response to Coronavirus at: https://warwick.ac.uk/coronavirus.

IB104-12 Mathematical Programming I

Department
Warwick Business School
Level
Undergraduate Level 1
Module leader
Bo Chen
Credit value
12
Module duration
5 weeks
Assessment
100% exam
Study location
University of Warwick main campus, Coventry
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 (17%)
Seminars 5 sessions of 1 hour (4%)
Private study 95 hours (79%)
Total 120 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
Online Examination 100% 57 hours

Exam

~Platforms - AEP


  • Online examination: No Answerbook required
Feedback on assessment

Feedback via my.wbs.

Past exam papers for IB104

Courses

This module is Core for:

  • Year 1 of USTA-G302 Undergraduate Data Science
  • Year 1 of USTA-G304 Undergraduate Data Science (MSci)
  • Year 1 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
  • Year 1 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics

This module is Optional for:

  • Year 1 of UCSA-G500 Undergraduate Computer Science
  • Year 1 of UCSA-G503 Undergraduate Computer Science MEng
  • Year 1 of UCSA-I1N1 Undergraduate Computer Science with Business Studies
  • Year 1 of UCSA-GN51 Undergraduate Computer and Business Studies
  • Year 1 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
  • Year 1 of USTA-GG14 Undergraduate Mathematics and Statistics (BSc)

This module is Option list A for:

  • Year 1 of UCSA-G4G1 Undergraduate Discrete Mathematics
  • Year 1 of UCSA-G4G3 Undergraduate Discrete Mathematics

This module is Option list B for:

  • Year 1 of UMAA-G100 Undergraduate Mathematics (BSc)
  • Year 1 of UMAA-G103 Undergraduate Mathematics (MMath)
  • Year 1 of UMAA-G106 Undergraduate Mathematics (MMath) with Study in Europe
  • Year 1 of UMAA-G1NC Undergraduate Mathematics and Business Studies
  • Year 1 of UMAA-G1N2 Undergraduate Mathematics and Business Studies (with Intercalated Year)
  • Year 1 of UMAA-GL11 Undergraduate Mathematics and Economics
  • Year 1 of UECA-GL12 Undergraduate Mathematics and Economics (with Intercalated Year)
  • Year 1 of UMAA-GV18 Undergraduate Mathematics and Philosophy with Intercalated Year
  • Year 1 of UMAA-G101 Undergraduate Mathematics with Intercalated Year