Optimisation

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• recognise and define an optimisation problem;
• perform sensitivity analysis and interpret it.
• analyse results and interpret outcome;
• apply the appropriate optimisation techniques to model a wide range of business problems;

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• the principles and concepts of optimisation;
• the core optimisation techniques and approaches used.

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• computer skills;
• problem-solve;
• numeracy;
• teamwork
• learning skills;

Model building for decision-making.

• Linear, nonlinear and integer programming.
• Single and multi-objective models.
• Sensitivity analysis and duality theory.
• Models with a special structure.
• Exact and heuristic optimization algorithms.

The module is taught through a combination of lectures (two per week for twelve weeks), classes, computer lab sessions, case studies and problem sheets

Formative

This is how we’ll give you feedback as you are learning. It is not a formal test or exam.

Class discussions

• Assessment Type: Formative
• Feedback:
• Final Assessment: No
• Group Work: No

In-class activities

• Assessment Type: Formative
• Feedback:
• Final Assessment: No
• Group Work: No

Summative

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

Referral

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

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.