AY2026 Semester 1 data is now available →
AY2017/2018 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 | CoreBDE |
| Not Available To Programme | ACC, ADM, AERO, ASEC, BEEC, BIE, BMS, BS, 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, 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, SOC, SSM |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | 00590 SEM (1) 1430-1830 Mon ITL-SA3 | 00591 SEM (2) 1430-1830 Tue ITL-SA1 | 00592 SEM (3) 1430-1830 Wed ITL-SA2 | ||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
