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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.
Introduction To Data Science & Artificial Intelligence
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SC1003
Introduction To Computational Thinking & Programming
SC1004
Linear Algebra For Computing
SC1005
Digital Logic
SC1006
Computer Organisation & Architecture
SC1007
Data Structures & Algorithms
SC1008
C & C++ Programming
SC1104
Linear Algebra For Computing
SC1124
Math 2: Discrete Structures For Computing
SC1302
Ethics
| Mon | Tue | Wed | Thu | Fri | ||
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| 830 | 10006 LAB (ECDS) 0830-1020 Mon HWLAB1 | 10007 LAB (REP2) 0830-1020 Thu HWLAB2 | ||||
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| 1230 | 10003 LAB (FR1) 1230-1420 Thu HWLAB2 | |||||
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| 1330 | COMMON LEC (SCL1) 1330-1420 Fri ONLINE, LT10 Wk3, Teaching Wk1,2,4-13 | COMMON LEC (SCL1) 1330-1420 Fri ONLINE, LT10 Wk3, Teaching Wk1,2,4-13 | ||||
| 1400 | ||||||