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AY2021/2022 Semester 1
This course aims to provide you with a basic but comprehensive foundation of neural networks and deep learning, including underlying principles, architectures, and learning algorithms of various types of deep neural networks that are essential for future applications of artificial intelligence and data science.
| 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, MAEC, MAEO(BA), MAEO(PMAS), MAEO(STAT), MAT, MATH(BA), MATH(PMAS), MATH(STAT), ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), SCED, SOC, SSM |
| Not Available To All Programme With | (Admyr 2021-onwards), |
| Mutually Exclusive With | CE4042 |
| 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 | ||
|---|---|---|---|---|---|---|
| 1130 | COMMON LEC (SC4) 1130-1320 Fri ONLINE | |||||
| 1200 | ||||||
| 1230 | ||||||
| 1300 | ||||||
| 1330 | ||||||
| 1400 | ||||||
| 1430 | ||||||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||
| 1630 | ||||||
| 1700 | ||||||
| 1730 | 10414 TUT (SC4) 1730-1820 Wed ONLINE | |||||
| 1800 | ||||||
| 1830 | COMMON LEC (PT4) 1830-1920 Thu ONLINE | |||||
| 1900 | ||||||
| 1930 | COMMON LEC (PT4) 1930-2020 Thu ONLINE | |||||
| 2000 | ||||||
| 2030 | 14512 TUT (PT4) 2030-2120 Thu TR+15, ONLINE Wk3-13, Teaching Wk1,2 | 14512 TUT (PT4) 2030-2120 Thu TR+15, ONLINE Wk3-13, Teaching Wk1,2 | ||||
| 2100 | ||||||
