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 | CSC(CE) |
| Prerequisites | |
| Mutually Exclusive | CB0494, CE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, EE0005, IE0005, MA0218, MS0003, PS0002, SC3021 |
| Not Available to Programme | ACDA(2024-onwards), BCE(2024-onwards), BCG(2024-onwards), CE(2024-onwards), CEEC(2024-onwards), CSC(2024-onwards), CSEC(2024-onwards), DSAI(2024-onwards), ECDS(2025-onwards) |
| Not Available to All Programme | (Admyr 2011-2020) |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| - | LEC/STUDIO | SCL1 | FRI | 1330-1420 | ONLINE | Teaching Wk3 |
| LEC/STUDIO | SCL1 | FRI | 1330-1420 | LT10 | Teaching Wk1,2,4-13 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
SC1015
10006
LAB | HWLAB1
SC1015
10007
LAB | HWLAB2
SC1015
10003
LAB | HWLAB2
SC1015
LEC/STUDIO | ONLINE
Teaching Wk3
SC1015
LEC/STUDIO | LT10
Teaching Wk1,2,4-13
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