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Module Detailed Information for [DSA2101]
Academic Year : 2017/2018 Semester : 1
Correct as at 30 Sep 2017 13:30

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Module Information
Module Code :
DSA2101 IVLE
Module Title : Essential Data Analytics Tools: Data Visualisation
Module Description : Data visualisation is an essential tool for data analytics. This module is an introduction to data cleaning, exploration, analysis and visualisation. Students will learn how to take raw data, extract meaningful information, use statistical tools, and make visualisations. Topics include: programming in R, introduction to data storage systems, data manipulation, exploratory data analysis, dimension reduction, statistical graphics for univariate, multivariate (high-dimensional), temporal and spatial data, basic design principles and critical evaluation of visual displays of data.
Module Examinable : -
Exam Date : 04-12-2017 PM
Modular Credits : 4
Pre-requisite : DSA1101 and MA1101R and ST2131/MA2216
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 3-1-0-3-3
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
SL1 LECTUREEVERY WEEKTUESDAY8001000LT29,
SL1 LECTUREEVERY WEEKFRIDAY8001000LT29,

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
T1 TUTORIALEVERY WEEKTUESDAY12001300S16-05101,
Available in Tutorial Balloting [Iteration 2].
T3 TUTORIALEVERY WEEKTUESDAY14001500S16-05101,
Available in Tutorial Balloting [Iteration 2].





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