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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.
Required first
BG2211Introduction To Computational ThinkingCE1003Introduction To Computational ThinkingCH2107Introduction To Computational ThinkingCV1014Introduction To Computational ThinkingCZ1003Introduction To Computational ThinkingEE1005From Computational Thinking To ProgrammingMA1008Introduction To Computational ThinkingMS1008Introduction To Computational ThinkingRE1016Engineering ComputationIntroduction To Data Science & Artificial Intelligence
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MS1008
Introduction To Computational Thinking
MS1014
Materials Chemistry II
MS1018
Properties Of Materials
MS2013
Introduction To Polymer Science
MS2014
Materials Structure & Defects
MS2018
Electronics & Magnetic Properties Of Materials
MS2083
Laboratory On Structure-Property Relationship In Polymers
MS2084
Phase Transformations & Kinetics In Steels
MS3011
Metals & Ceramics
| Mon | Tue | Wed | Thu | Fri | |
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| 1330 | COMMON LEC (LE) 1330-1420 Mon LT3 | ||||
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| 1630 | 15111 TUT (T1) 1630-1820 Mon LHN-LT | 15112 TUT (T2) 1630-1820 Wed LHN-LT | |||
| 1700 | |||||
| 1730 | |||||
| 1800 |