Historical snapshot: AY2016/2017 Semester 2 · View current offering
ModsBC2407AY2016/2017 Semester 2
Analytics Ii Advanced Predictive Techniques
AY2016/2017 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, ME(DES), ME(MEC), MEEC, MEEC(DES), MEEC(MEC), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, SOC, SSM |
| Exam |
Available indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | 00583 SEM (1) 1430-1830 Mon ITL-SA3 | 00584 SEM (2) 1430-1830 Tue ITL-SA1 | |||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |