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Module Detailed Information for [BT4221]
Academic Year : 2017/2018 Semester : 1
Correct as at 30 Sep 2017 13:30

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Module Information
Module Code :
Module Title : Big Data Techniques and Technologies
Module Description : This module teaches students concepts, techniques and technologies in handling and analyzing big data sets, i.e., data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Common sources and domains of big data include ubiquitous information-sensing mobile devices, web and software logs, financial trading transactions, large-scale e-commerce, RFID and wireless sensor networks, etc. Conceptual big data topics covered include big data instructure, analytics scalability and processes, etc. Technical frameworks for big data handling and analytics taught include Hadoop, HBase, Cassandra, MapReduce, Dynamo, R, in-database analytics, mining of data streams, etc.
Module Examinable : -
Exam Date : 05-12-2017 EVENING
Modular Credits : 4
Pre-requisite : Complete 80 MCs and (IS1112 E-Business Essentials or BT2102 Data Management and Visualization) and ST3131 Regression Analysis
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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