AY2026 Semester 1 data is now available →
AY2018/2019 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 | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | 00585 SEM (2) 0830-1230 Wed ITL-SA1 | ||||
| 900 | |||||
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | 00584 SEM (1) 1430-1830 Mon ITL-SA3 | 00586 SEM (3) 1430-1830 Wed ITL-SA2 | |||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
