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AY2023/2024 Semester 2
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(IMS), 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, SC4001 |
| 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 | |||
|---|---|---|---|---|---|---|---|
| 1530 | COMMON LEC (SCL4) 1530-1720 Thu ONLINE, LT19A Wk5, Teaching Wk1-4,6-13 | COMMON LEC (SCL4) 1530-1720 Thu ONLINE, LT19A Wk5, Teaching Wk1-4,6-13 | |||||
| 1600 | |||||||
| 1630 | 10330 TUT (SCEL) 1630-1720 Wed LT1, ONLINE Wk2-4,6-13, Teaching Wk5 | 10330 TUT (SCEL) 1630-1720 Wed LT1, ONLINE Wk2-4,6-13, Teaching Wk5 | |||||
| 1700 | |||||||
| 1730 | |||||||
| 1800 | |||||||
| 1830 | COMMON LEC (CSPT4) 1830-1920 Tue LT9 | ||||||
| 1900 | |||||||
| 1930 | 14520 TUT (CSPT4) 1930-2120 Tue LT9 Wk2-13 | ||||||
| 2000 | |||||||
| 2030 | |||||||
| 2100 | |||||||
