Aims and Fit of Module

The module aims to introduce some of the important tools and techniques of contemporary management science.

Learning outcomes

A.  Analyze and solve complex problems using quantitative methods.
B.  Develop optimization strategies to improve decision-making and resource allocation.
C.  Create models to evaluate decisions in uncertain and dynamic environments.
D.  Apply advanced analytical tools to enhance operational efficiency.
E. Evaluate the effectiveness of different analytical approaches in real-world scenarios.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.

Students will be expected to attend lectures, seminars and tutorials.
Private study will provide time for reflection and consideration of lecture material and background reading. Students will be introduced to the academic content which is the subject of the module.

Students will also be given some practical exercises during lectures; such as performing materials requirements planning calculations.
Case study material will be drawn upon, and sometimes videos will be utilised.
Over a four-week period (two hours per week) students will play a business game to demonstrate supply chain dynamics.

The game also forms the basis for the continuous assessment component of the module which will be used to test to what extent practical skills have been learnt.