Historical snapshot — AY2017/2018 Semester 2 · View current offering →
ModsBC2407AY2017/2018 Semester 2
Analytics Ii Advanced Predictive Techniques
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 |
Available Indexes
| 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 |