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 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 | CEE |
| Prerequisites | |
| Mutually Exclusive | CE1015, CE1115, CE4073, CH0494, CZ1015, CZ1016, CZ1115, CZ4073, MA0218, MS0003, SC1015 |
| Not Available to All Programme | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018)-Direct Entry |
| Index | Type | Group | Day | Time | Venue | Remark |
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0930
1030
1130
1230
1330
1430
1530
1630
1730
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