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Module Detailed Information for [MA4270]
Academic Year : 2017/2018 Semester : 2
Correct as at 22 Jan 2018 20:00

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Module Information
Module Code :
MA4270 IVLE
Module Title : Data Modelling and Computation
Module Description : This course aims at presenting important mathematical concepts and computational methods that are often used for modelling and analysis of big data sets and complex networks. The emphasis is on mathematical modelling and computational methods for practical problems in data science. Major topics include: basics on convex analysis, numerical methods for large-scale convex problems, dimensionality reduction, numerical methods for machine learning, kernel methods for pattern analysis, sparse coding and dictionary learning.
Module Examinable : -
Exam Date : 07-05-2018 EVENING
Modular Credits : 4
Pre-requisite : {MA2213 or DSA2102} and {MA2216 or ST2131 or ST2334}
Preclusion : Nil
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
SL1 LECTUREEVERY WEEKMONDAY14001600LT29,
SL1 LECTUREEVERY WEEKTHURSDAY14001600LT29,

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
T01 TUTORIALEVERY WEEKTUESDAY14001500S17-0405,
Available in Tutorial Balloting [Iteration 2].
T02 TUTORIALEVERY WEEKTHURSDAY12001300S17-0405,
Available in Tutorial Balloting [Iteration 2].
T03 TUTORIALEVERY WEEKTHURSDAY18001900S17-0405,
Available in Tutorial Balloting [Iteration 2].





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