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AY2022/2023 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, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CEE, CHEM, CHIN, CS, CSC, CSEC, CVEC, DSAI, 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, REP(ASEN), REP(BIE), REP(CBE), REP(CSC), 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 | CZ4042, SC4001 |
| Exam |
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| 930 | |||||
| 1000 | |||||
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| 1130 | |||||
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| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1130 | COMMON LEC (SC4) 1130-1320 Fri LT6 | ||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
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| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | 10350 TUT (SC4) 1730-1820 Wed LT6 | ||||
| 1800 |
