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.
| Academic Units | 3 |
| Exam Schedule | Sat Nov 22 2025 00:00:00 GMT+0000 (Coordinated Universal Time) 09:00-11:00 |
| Grade Type | Letter Graded |
| Department Maintaining | CSC(CE) |
| Prerequisites | CZ1007 & CZ1011 & CZ1012 OR CZ1104 & CZ1107 OR CZ1007 & MH2802 OR CZ1107 & MH2802 |
| Mutually Exclusive | |
| Not Available to Programme | ACBS, ACC, ADM, AERO, ARED, ASEC, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CEE, CEE 1, CEEC, CHEM, CHIN, CS, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEE 1, EEEC, EESS, ELAH, ELH, ENE, ENE 1, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MAEC, MAEO(BA), MAEO(PMAS), MAEO(STAT), MAT, MATH(BA), MATH(PMAS), MATH(STAT), ME 1, ME(DES), ME(IMS), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PESC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), ROBO, SCED, SOC, SSM |
| Not Available to All Programme | (Admyr 2021-onwards), |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 10721 | LEC/STUDIO | SCL4 | FRI | 1230-1420 | LT1 | Teaching Wk1-9,11-13 |
| 10721 | LEC/STUDIO | SCL4 | FRI | 1230-1420 | ONLINE | Teaching Wk10 |
| 10721 | TUT | SCEL | WED | 1730-1820 | LT19 | Teaching Wk2-9,11-13 |
| 10721 | TUT | SCEL | WED | 1730-1820 | ONLINE | Teaching Wk10 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
CZ4042
TUT | LT19
Teaching Wk2-9,11-13
CZ4042
TUT | ONLINE
Teaching Wk10
CZ4042
LEC/STUDIO | LT1
Teaching Wk1-9,11-13
CZ4042
LEC/STUDIO | ONLINE
Teaching Wk10
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