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Module Detailed Information for [CS4225]
Academic Year : 2017/2018 Semester : 2
Correct as at 30 Mar 2018 04:27

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Module Information
Module Code :
CS4225 IVLE
Module Title : Massive Data Processing Techniques in Data Science
Module Description : Data science incorporates varying elements and builds on techniques and theories from many fields, including statistics, data engineering, data mining, visualization, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. Data science seeks to use all available and relevant data to effectively tell a story that can be easily understood by non-practitioners. In this module, students will learn various massive data processing techniques that are used in data science with emphasis on the algorithmic and mathematical properties of these techniques.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : CS3223 Database Systems Implementation
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-1-0-3-4
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
1 LECTUREEVERY WEEKFRIDAY14001600COM2-0108,

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.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
1 TUTORIALEVERY WEEKTUESDAY13001400COM1-0203,
Available in Tutorial Balloting [Iteration 2].
2 TUTORIALEVERY WEEKTUESDAY14001500COM1-0203,
Available in Tutorial Balloting [Iteration 2].
3 TUTORIALEVERY WEEKFRIDAY13001400SR@LT19,
Available in Tutorial Balloting [Iteration 2].
4 TUTORIALEVERY WEEKFRIDAY16001700COM1-0210,
Available in Tutorial Balloting [Iteration 2].





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