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AY2019/2020 Semester 2
This course will start with the core principles of Data Science, and will equip you with the basic tools 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 Machine Learning - prediction, classification, clustering, anomaly detection - to set the computational framework for Data Science. The goal is to 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 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.
| AUs | 3.0 AUs |
| Categories | Core |
| Mutually Exclusive With | CE1015, CE4073, CH0494, CV0003, CZ1015, CZ4073, EE0005, MA0218, MS0003, PS0002 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 1430 | COMMON LEC (DSAI1) 1430-1530 Mon LT10 | 10153 SEM (DSAI1) 1430-1630 Thu HWLAB2 | 10154 SEM (DSAI2) 1430-1630 Thu HWLAB2 | |||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||