Introduction To Data Science Artificial Intelligence
AY2023/2024 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 |
| Categories | Core |
| Not Available To All Programme With | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018), (Admyr 2011-2018)-Direct Entry |
| Mutually Exclusive With | CE1015, CE1115, CE4073, CH0494, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
| Exam |
Available indexes
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| 1030 | 32202 LAB (EL02) 1030-1220 Tue S2.2-B4-04 Wk1-8,12,13 | 32204 LAB (EL04) 1030-1220 Wed S2.2-B4_04 Wk1-8,12,13 | 32206 LAB (EL06) 1030-1220 Thu S2.2-B4_04 Wk1-8,12,13 | ||
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| 1430 | 32201 LAB (EL01) 1430-1620 Mon S2.2-B4_04 Wk1-8,12,13 | 32203 LAB (EL03) 1430-1620 Tue S2.2-B4_04 Wk1-8,12,13 | 32205 LAB (EL05) 1430-1620 Wed ONLINE, S2.1-B4-02, TR+89 Wk9, Teaching Wk2-8, Teaching Wk1,13 | 32207 LAB (EL07) 1430-1620 Thu S2.2-B4-04 Wk1-8,12,13 | |
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| 1730 | COMMON LEC (EELE) 1730-1820 Mon LT22 Odd Weeks | ||||
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