AY2026 Semester 1 data is now available →
Current offering — AY2026/2027 Semester 1
Data-Analytic Thinking. The Data Pipeline. Data Presentation. Data-driven Inference. Data-driven Identification. Digital Storytelling. Artificial Intelligence. Reinforcement Learning and Artificial Intelligence. Ethics in Data Science & Artificial Intelligence. State-of-the-Art in Data Science & Artificial Intelligence.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | EE1005, CE1003, CZ1003, BG2211, CH2107, CV1014, MS1008, MA1008, IE1005, RE1016 |
| Not Available To Programme | |
| Not Available To All Programme With | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018), (Admyr 2011-2018)-Direct Entry |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | CE1015, CE1115, CE4073, CH0494, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Required first
BG2211Introduction To Computational ThinkingCE1003Introduction To Computational ThinkingCH2107Introduction To Computational ThinkingCV1014Introduction To Computational ThinkingCZ1003Introduction To Computational ThinkingEE1005From Computational Thinking To ProgrammingIE1005From Computational Thinking To ProgrammingMA1008Introduction To Computational ThinkingMS1008Introduction To Computational ThinkingRE1016Engineering ComputationIntroduction To Data Science & Artificial Intelligence
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| 930 | COMMON LEC (EELE) 0930-1020 Tue LT23 Odd Weeks | ||||
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| 1030 | 32361 LAB (EL01) 1030-1220 Tue S2.2-B4-04 Wk1-8,12,13 | 32363 LAB (EL03) 1030-1220 Wed S2.2-B4-04 Wk1-8,12,13 | |||
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| 1330 | 32362 LAB (EL02) 1330-1520 Tue S2.2-B4-04 Wk1-8,12,13 | ||||
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| 1430 | 32364 LAB (EL04) 1430-1620 Thu S2.2-B4-04 Wk1-8,12,13 | ||||
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| 1600 |