Introduction To Data Science Artificial Intelligence
AY2019/2020 Semester 2
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.
| AUs | 3.0 AUs |
| Categories | Core |
| Mutually Exclusive With | CE1015, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ4073 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |||
|---|---|---|---|---|---|---|---|
| 1530 | 15191 TUT (T1) 1530-1730 Wed ESPACE Odd Weeks | 15193 TUT (T3) 1530-1730 Wed ESPACE Even Weeks | |||||
| 1600 | |||||||
| 1630 | |||||||
| 1700 | |||||||
| 1730 | 15195 TUT (T5) 1730-1930 Mon ESPACE Odd Weeks | 15196 TUT (T6) 1730-1930 Mon ESPACE Even Weeks | 15192 TUT (T2) 1730-1930 Wed ESPACE Odd Weeks | 15194 TUT (T4) 1730-1930 Wed ESPACE Even Weeks | |||
| 1800 | |||||||
| 1830 | |||||||
| 1900 | |||||||