ModsIE0005
Introduction To Data Science Artificial Intelligence
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 |
Exam | N/A |
Grade Type | N/A |
Maintaining Dept | N/A |
Prerequisites | or or or BG2211 or CH2107 or or MS1008 or MA1008 or IE1005 or |
Mutually Exclusive With | , , CE4073, , , CZ1016, , CZ4073, SC1015 |
Not Available To Programme | N/A |
Not Available To All Programme With | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018), (Admyr 2011-2018)-Direct Entry |
Not available as Core for programmes | N/A |
Not Available as PE for programmes | N/A |
Not Available as BDE/UEs for programmes | N/A |
Not Offered To | N/A |
Total hours per week: 3 hrs
Available Indexes
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1030 | 33000 LAB (EL01) 1030-1220 Tue S2.2-B4-04 Wk1-8,12,13 | 33001 LAB (EL02) 1030-1220 Wed S2.2-B4-04 Wk1-8,12,13 | 33002 LAB (EL03) 1030-1220 Thu S2.2-B4-04 Wk1-8,12,13 | ||
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1130 | 33004 LAB (EL05) 1130-1320 Fri S2.2-B4-04 Wk1-4,6-9,12,13 | ||||
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1430 | 33003 LAB (EL04) 1430-1620 Thu S2.2-B4-04 Wk1-8,12,13 | ||||
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1630 | COMMON LEC (EELE) 1630-1720 Wed LT25 Odd Weeks | ||||
1700 |