Historical snapshot — AY2019/2020 Semester 2 · View current offering →

Analytics Ii Advanced Predictive Techniques

AY2019/2020 Semester 2

This course covers explore in greater details supervised and unsupervised learning data analytics techniques. The course will expose the students to practical techniques including clustering analysis, discrete choice modeling, association rules, text mining techniques, advanced regression forecasting and neural networks.

AUs	4.0 AUs
Categories	CoreMinorsBDE
Not Available To Programme	ACC, ADM, AERO, ARED, ASEC, BCE 1, BCE 3, BCE 4, BCG 1, BCG 3, BCG 4, BEEC, BIE, BMS, BS, BSB, CBE, CBEC, CE, CEE, CEEC, CHEM, CHIN, CS, CSC, CSEC, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, IEEC, IEM, LMS, MACS, MAEC, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, SCED, SOC, SSM
Exam

Available Indexes

	Mon	Tue	Wed	Thu	Fri
930
1000
1030
1100
1130
1200
1230
1300
1330
1400
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1500
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1800

	Mon	Wed	Thu
830		00619 SEM (2) 0830-1230 Wed ITL-SA1
900
930
1000
1030
1100
1130
1200
1230
1300
1330
1400
1430	00618 SEM (1) 1430-1830 Mon ITL-SA3	00620 SEM (3) 1430-1830 Wed ITL-SA2	00621 SEM (4) 1430-1830 Thu ITL-SA1
1500
1530
1600
1630
1700
1730
1800