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Module Detailed Information for [DSA2102]
Academic Year : 2017/2018 Semester : 2
Correct as at 09 Mar 2018 23:06

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Module Information
Module Code :
Module Title : Essential Data Analytics Tools: Numerical Computation
Module Description : This module aims at introducing basic concepts and wellestablished numerical methods that are very related to the computing foundation of data science and analytics. The emphasis is on the tight integration of numerical algorithms, implementation in industrial programming language, and examination on practical examples drawn from various disciplines related to data science. Major topics include: computer arithmetic, matrix multiplication, numerical methods for solving linear systems, least squares method, interpolation, concrete implementations in industrial program language, and sample applications related to data science.
Module Examinable : -
Exam Date : 08-05-2018 EVENING
Modular Credits : 4
Pre-requisite : MA1101R and MA1102R
Preclusion : MA2213
Module Workload (A-B-C-D-E)* : 3-1-0-2-4
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.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
Available in Tutorial Balloting [Iteration 2].
Available in Tutorial Balloting [Iteration 2].

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