ETW2440 · Business modelling and analytics methods

Overview

Topics include business modelling with spreadsheets and R programming language; the methodology of business modelling and analytics; linear programming; primal and dual models; integer programming; transportation; and assignment problems.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. illustrate analytical and algorithmic optimisations applied to real-life business cases
2. use algebraic formulations and spreadsheets side-by-side to make business decisions
3. formulate and solve business problems with linear programming using graphical methods, Excel Solver, and R program
4. analyse duality, sensitivity, transportation, assignment problems, and integer programming.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.