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 |
| Grade Type | |
| Prerequisite | CZ1007, CZ1011, CZ1012, CZ1104, CZ1107, MH2802 |
| 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 With | (Admyr 2021-onwards), |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | CE4042, SC4001 |
| Not Offered As BDE | Yes |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 3 hrs
Available Indexes
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| 1000 | |||||
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| 1130 | |||||
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| 1230 | |||||
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| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
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| 1800 |
Other offerings
AY2025/2026 Semester 1AY2024/2025 Semester 2AY2024/2025 Semester 1AY2023/2024 Semester 2AY2023/2024 Semester 1AY2022/2023 Semester 1AY2021/2022 Semester 1AY2020/2021 Semester 1AY2019/2020 Semester 1AY2018/2019 Semester 1AY2017/2018 Semester 1AY2016/2017 Semester 1AY2015/2016 Semester 1AY2014/2015 Semester 1