Prescriptive Analytics III: 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;
• apply the appropriate optimisation techniques to model a wide range of business problems;
• perform sensitivity analysis and interpret it.
• analyse results and interpret outcome;

Transferable and Generic Skills

Having successfully completed this module you will be able to:

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

Knowledge and Understanding

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

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

• Model building for decision-making.
• Linear, nonlinear and integer programming.
• Sensitivity analysis and duality theory.
• Stochastic and robust programming.
• Single and multi-objective models.
• Models with a special structure.
• Exact and heuristic optimisation 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.

In-class activities

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

Class discussions

• 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.