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Unit of study_

Machine Learning and Data Mining in Business - QBUS3820

Year - 2019

Advances in information technology have made available rich information data sets, often generated automatically as a by-product of the main institutional activity of a firm or business unit. Data Mining deals with inferring and validating patterns, structures and relationships in data, as a tool to support decisions in the business environment. This unit offers an insight into the main statistical methodologies for the visualisation and the analysis of business and market data, providing the information requirements for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis is given to empirical applications using modern software tools.

Classes
1 x 2hr lecture and 1 x 1hr tutorial per week

Assessment
group project (20%); online quizzes (15%); mid semester test (20%); final exam (45%)

Pre-requisites

QBUS2810 or ECMT2110 or DATA2002

Details

Faculty: Business (Business School)

Semester 1

25 Feb 2019

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2019
Unit of study level: Senior
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? No
Location
Camperdown
Courses that offer this unit

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