In today's era of Information, `Data' is the new driving force, provided we know how to extract relevant `Intelligence'. This course will start with the core principles of Data Science, and will equip you with the basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focussed communication. The course will also introduce you to the fundamentals of Artificial Intelligence - state space representation, uninformed search, and reinforcement learning. The course will motivate you to work closely with data and make data-driven decisions in your field of study. The course will also touch upon ethical issues in Data Science and Artificial Intelligence, and motivate you to explore the cutting-edge applications in Materials Science related to Big Data, Neural Networks and Deep Learning. Python will be the language of choice to introduce hands-on computational techniques.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | MAT |
| Prerequisites | CE1003 OR CZ1003 OR CH2107 OR CV1014 OR MS1008 OR MA1008 OR EE1005 OR RE1016 OR BG2211 |
| Mutually Exclusive | CE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| - | LEC/STUDIO | LE | MON | 1330-1420 | LT3 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
MS0003
LEC/STUDIO | LT3
MS0003
15111
TUT | LHN-LT
MS0003
15112
TUT | LHN-LT
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