Introduction To Data Science Artificial Intelligence
AY2019/2020 Semester 1
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.
| AUs | 3.0 AUs |
| Categories | Core |
| Not Available To All Programme With | (Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018)-Direct Entry |
| Mutually Exclusive With | CE1015, CE4073, CH0494, CZ1015, CZ1016, CZ4073, MA0218, MS0003 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | ||||
|---|---|---|---|---|---|---|---|---|
| 830 | 28203 TUT (CV3) 0830-1030 Fri EST Lab 2 | 28204 TUT (CV4) 0830-1030 Fri EST Lab 2 | ||||||
| 900 | ||||||||
| 930 | ||||||||
| 1000 | ||||||||
| 1030 | 62209 TUT (MS3) 1030-1230 Tue EST Lab 2 | 28201 TUT (CV1) 1030-1230 Wed EST Lab 2 | 28202 TUT (CV2) 1030-1230 Wed EST Lab 2 | |||||
| 1100 | ||||||||
| 1130 | ||||||||
| 1200 | ||||||||
| 1230 | ||||||||
| 1300 | ||||||||
| 1330 | 62207 TUT (MS1) 1330-1530 Thu EST Lab 2 | 62208 TUT (MS2) 1330-1530 Thu EST Lab 2 | 28205 TUT (EN1) 1330-1530 Fri EST Lab 2 | |||||
| 1400 | ||||||||
| 1430 | ||||||||
| 1500 | ||||||||