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.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | EEE |
| Prerequisites | EE1005 OR CE1003 OR CZ1003 OR BG2211 OR CH2107 OR CV1014 OR MS1008 OR MA1008 OR IE1005 OR RE1016 |
| Mutually Exclusive | CE1015, CE1115, CE4073, CH0494, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
| Not Available to All Programme | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018), (Admyr 2011-2018)-Direct Entry |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| - | LEC/STUDIO | EELE | TUE | 0930-1020 | ONLINE | Teaching Wk10 |
| LEC/STUDIO | EELE | TUE | 0930-1020 | LT23 | Teaching Wk1,3,5,6,9,11,13 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
IE0005
LEC/STUDIO | ONLINE
Teaching Wk10
IE0005
32361
LAB | S2.2-B4-04
Teaching Wk1-8,12,13
IE0005
32362
LAB | S2-B3A_06
Teaching Wk1-8,12,13
IE0005
LEC/STUDIO | LT23
Teaching Wk1,3,5,6,9,11,13
IE0005
32363
LAB | S2.2-B4-04
Teaching Wk1-8,12,13
IE0005
32364
LAB | S2.2-B4-04
Teaching Wk1-8,12,13
IE0005
32365
LAB | S2.2-B4-04
Teaching Wk1-8,12,13
IE0005
32366
LAB | S2-B3A-06
Teaching Wk1-8,12,13
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