ETW2500 Unsupervised learning for business
Faculty of Business and Economics
ETW2500 Unsupervised learning for business is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 1 and Semester 2 at Malaysia. It needs ETW2001 and unlocks 1 unit.
- 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 ETW2500
Prerequisites
Pass these before you enrol.
- ETW2001Foundations of data analysis and modelling
Prohibitions
You can't enrol if you have passed any of these.
After ETW2500
1 unit list ETW2500 as a prerequisite or corequisite.
Overview
Unsupervised learning for business is a specialised field within machine learning that focuses on extracting valuable insights and knowledge from unlabelled data in a business context. Unlike supervised learning, which relies on labelled data for training, unsupervised learning algorithms work with unstructured or unlabelled data to discover patterns, structures, or relationships that may not be immediately apparent. This unit explores various techniques and methodologies used in unsupervised learning to address specific business challenges and opportunities. It delves into applying these techniques to large and complex datasets, enabling businesses to make data-driven decisions and gain a competitive advantage.
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
design and implement appropriate data exploration and pre-processing techniques to prepare the data for unsupervised learning tasks to address specific business challenges
- 2
apply unsupervised learning algorithms to classify unlabelled data into meaningful groups or segments based on homogenous characteristics, enabling effective customer segmentation, market analysis, or product categorisation
- 3
assess the quality and effectiveness of unsupervised learning models and techniques for specific business applications
- 4
analyse, interpret and communicate the results of unsupervised learning algorithms results effectively via oral and written forms.
Workload and teaching
- Tutorials24 hours
- 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 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
ETW2500 is part of 2 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Dr Lee How Chinh
- Yalini Easvaralingam
Common questions
What are the prerequisites for ETW2500?
You need ETW2001 before you enrol.
What can I take after ETW2500?
ETW2500 is a prerequisite or corequisite for 1 unit, including ETW3420.
When is ETW2500 offered?
In 2024, ETW2500 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETW2500?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETW2500 have an exam?
No. ETW2500 has 1 assessment task and no exam.
Which majors and minors include ETW2500?
ETW2500 is part of Business analytics.