Delivery mode
On Campus / Offline
Teaching period
Semester 2
Types of assessment
In-person exam, Mid-semester test, group assignment and presentation
What does this subject cover?
This subject is designed to equip students with a range of tools and techniques that are necessary for effective decision making. Key topics covered include both prescriptive analytics (e.g., linear optimisation, nonlinear optimisation, and Monte Carlo simulation) and predictive analytics (e.g., forecasting, logistic regression, classification and regression trees). Emphasis will be given to potential applications of these tools and techniques in various functional areas including international business, marketing, supply chain, and strategy.
What to do?
Working in groups can sometimes be more difficult than working individually. However,
team-work and organizational skills associated with group work are highly valued by
employers. With careful management and ongoing communication, you can have a
successful and rewarding experience working in a team. You should exchange names, phone numbers, and email addresses with your group members straight away. If you have difficulty with a member of your group, you should contact your lecturer as soon
as possible. Do NOT leave issues unresolved until just before or after your group
assignment is due. All students within your group will be given the same mark unless you
have raised an issue during the assignment period. Students who do not contribute to a
group assignment fairly and significantly may be allocated a lower mark or assigned a mark
of zero.
What prior knowledge do I need?
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Why should I choose this subject?
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