|
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
| |
| Class | Type | Week Type | Week Day | Start | End | Room |
| SL1 | LECTURE | EVERY WEEK | MONDAY | 1400 | 1600 | LT29,
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| SL1 | LECTURE | EVERY WEEK | THURSDAY | 1400 | 1600 | LT29,
|
|
| Class | Type | Week Type | Week Day | Start | End | Room |
Iteration |
| T01 | TUTORIAL | EVERY WEEK | TUESDAY | 1400 | 1500 | S17-0405,
|
Available in Tutorial Balloting [Iteration 2].
|
| T02 | TUTORIAL | EVERY WEEK | THURSDAY | 1200 | 1300 | S17-0405,
|
Available in Tutorial Balloting [Iteration 2].
|
| T03 | TUTORIAL | EVERY WEEK | THURSDAY | 1800 | 1900 | S17-0405,
|
Available in Tutorial Balloting [Iteration 2].
|
|
|
