Introduction To Data Science Artificial Intelligence
AY2020/2021 Semester 2
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.
| AUs | 3.0 AUs |
| Categories | Core |
| Not Available To Programme | BCG, CSC, CSEC, DSAI, MACS |
| Not Available To All Programme With | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018)-Direct Entry |
| Mutually Exclusive With | CB0494, CE1015, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, EE0005, MA0218, MS0003, PS0002 |
| Exam |
Available indexes
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 830 | 10014 SEM (FE1) 0830-1030 Mon HWLAB2 | 10017 SEM (FE3) 0830-1030 Mon HPL | 10016 SEM (FEP2) 0830-1030 Tue HWLAB2 | 10015 SEM (FE2) 0830-1030 Wed HWLAB2 | ||
| 900 | ||||||
| 930 | ||||||
| 1000 | ||||||
| 1030 | 10018 SEM (REP) 1030-1230 Mon HPL | |||||
| 1100 | ||||||
| 1130 | ||||||
| 1200 | ||||||
| 1230 | ||||||
| 1300 | ||||||
| 1330 | ||||||
| 1400 | ||||||
| 1430 | ||||||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||
| 1630 | COMMON LEC (CE1) 1630-1730 Tue ONLINE | |||||
| 1700 | ||||||