Not offered in the current semester · Last offered AY2021/2022 Semester T
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 | CE1003, CZ1003, BG2211, CH2107, CV1014, MS1008, MA1008, EE1005, 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 |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
Other offerings
AY21/22
AY20/21
AY19/20