New: filter modules by day and time, student links, custom courses →
AY2025/2026 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, BASA, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CMED, COMP, 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(IMS), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PESC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(BIE), REP(CBE), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), ROBO, SCED, SOC, SPPE, SSM |
| Not Available To All Programme With | (Admyr 2011-2020) |
| Mutually Exclusive With | CE4042, CZ4042 |
| 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 | |||
|---|---|---|---|---|---|---|---|
| 1230 | COMMON LEC (SCL4) 1230-1420 Fri ONLINE, LT1 Wk10, Teaching Wk1-9,11-13 | COMMON LEC (SCL4) 1230-1420 Fri ONLINE, LT1 Wk10, Teaching Wk1-9,11-13 | |||||
| 1300 | |||||||
| 1330 | |||||||
| 1400 | |||||||
| 1430 | |||||||
| 1500 | |||||||
| 1530 | |||||||
| 1600 | |||||||
| 1630 | |||||||
| 1700 | |||||||
| 1730 | 10521 TUT (SCEL) 1730-1820 Wed ONLINE, LT19 Wk10, Teaching Wk2-9,11-13 | 10521 TUT (SCEL) 1730-1820 Wed ONLINE, LT19 Wk10, Teaching Wk2-9,11-13 | |||||
| 1800 | |||||||