ETW3482 Data mining and predictive modelling
Faculty of Business and Economics
ETW3482 Data mining and predictive modelling is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 1 and Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2024
- Semester 1, Semester 2
- Malaysia
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ETW3482
Prohibitions
You can't enrol if you have passed any of these.
After ETW3482
No unit lists ETW3482 as a prerequisite in the 2024 handbook.
Overview
This unit will cover the key concepts of predictive modelling, emphasising applications in business. You will learn data pre-processing skills for predictive modelling. You will access data from various sources and be exposed to hands-on practice by studying industrial cases. You will become acquainted with popular supervised machine learning methods and gain sufficient confidence to make decisions based on data.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
distinguish the application of supervised machine learning methods from unsupervised learning methods
- 2
recommend appropriate data exploration and pre-processing techniques for predictive modelling
- 3
evaluate and compare the performance of the models built
- 4
produce conclusions and decisions based on model predictions.
Workload and teaching
- Tutorials24 hours
- Teaching approachCase-based teaching
- Teaching approachActive learning
- Teaching approachProblem-based learning
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.
This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Where it fits
ETW3482 is part of 4 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Dr Lee How Chinh
- Ganeshsree Selvachandran
Common questions
What are the prerequisites for ETW3482?
ETW3482 has no prerequisites.
When is ETW3482 offered?
In 2024, ETW3482 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETW3482?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETW3482 have an exam?
No. ETW3482 has 1 assessment task and no exam.
Which majors and minors include ETW3482?
ETW3482 is part of Business analytics and FinTech.