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Module Detailed Information for [MA4270]
Academic Year : 2017/2018 Semester : 2
Correct as at 20 Oct 2018 05:00

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Module Information
Module Code :
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 : 04-12-2018 AM
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

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 TUTORIAL3,4,5,6,7,8,9,10,11,12,13MONDAY14001500S16-0309,
Available in Tutorial Balloting [Iteration 2].
2 TUTORIAL3,4,5,6,7,8,9,10,11,12,13WEDNESDAY15001600S16-0598,
Available in Tutorial Balloting [Iteration 2].

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