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Module Detailed Information for [BT4240]
Academic Year : 2018/2019 Semester : 1
Correct as at 15 Nov 2018 05:00

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Module Information
Module Code :
Module Title : Machine Learning for Predictive Data Analytics
Module Description : This module provides a comprehensive coverage of methods and tools for predictive data analytics. Various techniques from data mining, statistics and artificial intelligence will be discussed. The emphasis will be on more recent developments in machine learning methods such as neural networks and support vector machines that have been shown to be very effective in discovering reliable patterns from past data and making accurate predictions of future outcomes. Applications of predictive analytics in business will also be discussed.
Module Examinable : -
Exam Date : 27-11-2018 AM
Modular Credits : 4
Pre-requisite : [MA1311 Matrix Algebra and Applications or MA1101R Linear Algebra I] and [MA1521 Calculus for Computing or MA1102R Calculus] and [BT2101 Decision Making Methods and Tools]
Preclusion : IS4240 Business Intelligence Systems
Module Workload (A-B-C-D-E)* : 3-0-0-3-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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