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Module Detailed Information for [BT4222]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Mining Web Data for Business Insights
Module Description : The World Wide Web overwhelms us with immense amounts of widely distributed, interconnected, rich, and dynamic hypertext information. It has profoundly influenced many aspects of our lives, changing the ways individuals communicate and the manners businesses are conducted. This module aims to teach students various concepts, methods and tools in mining Web data in the form of unstructured Web hyperlinks, page contents, and usage logs to uncover deep business insights and knowledge for business implications that are embedded in the billions of Web pages and servers. Topics covered include various text mining methodologies, case applications and tutorials on Web data mining for marketing, sales and finance applications, social Web data mining from Facebook and Twitter, and Web analytics involving clickstream and site traffic data, etc.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : [(CS1010 or equivalent) and BT2101 and BT2102] or [DAO2702 and DBA3803 and IT3010]
Preclusion : NIL
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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