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This course will start with the core principles of Data Science, and will equip you with the basic tools 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 Machine Learning - prediction, classification, clustering, anomaly detection - to set the computational framework for Data Science. The goal is to 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 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.
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CZ1007
Data Structures
CZ1103
Introduction To Computational Thinking & Programming
CZ1104
Linear Algebra For Computing
CZ1105
Digital Logic
CZ1106
Computer Organisation & Architecture
CZ1107
Data Structures & Algorithms
CZ1115
Introduction To Data Science & Artificial Intelligence
CZ1120
Introduction To Digital Communications & Networking
CZ2001
Algorithms
| Mon | Tue | Wed | Thu | Fri | |
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| 830 | 10062 SEM (DS3) 0830-1030 Mon AMD LAB | 10061 SEM (DS2) 0830-1030 Wed AMD LAB | |||
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| 1430 | COMMON LEC (DS1) 1430-1530 Mon ONLINE | 10060 SEM (DS1) 1430-1630 Thu AMD LAB | |||
| 1500 | |||||
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| 1600 |