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Historical snapshot: AY2019/2020 Semester 2 · View current offering
ModsBC2407AY2019/2020 Semester 2

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.

AUs4.0 AUs
Categories
CoreMinorsBDE
Not Available To ProgrammeACC, 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

MonTueWedThuFri
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

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