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AY2019/2020 Semester 2
This course introduces basic concepts and methodologies for machine learning as well as their applications. Clustering. Dimension Reduction. Classification. Decision Theory. Density Estimation. Classifier Evaluation.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS, ACC, ADM, AERO, ARED, ASEC, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CS, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MACS, MAEC, MAEO, 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 |
| Mutually Exclusive With | MH4510 |
| 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 | 10265 TUT (CS4) 0830-0930 Thu LT4 Wk2-13 | ||||
| 900 | |||||
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | COMMON LEC (CS4) 1230-1330 Tue LT4 | ||||
| 1300 | |||||
| 1330 | COMMON LEC (CS4) 1330-1430 Tue LT4 | ||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 | |||||
| 1830 | COMMON LEC (PT3) 1830-2030 Thu TR+16 | ||||
| 1900 | |||||
| 1930 | |||||
| 2000 | |||||
| 2030 | 14512 TUT (PT3) 2030-2130 Thu TR+16 Wk2-13 | ||||
| 2100 |
