Courses Detail Information

ECE6701J – Methods and Tools for Big Data


Jing Liu;Manuel Charlemagne

Credits: 3 credits

Pre-requisites: STAT4130J Obtained Credit&&ECE4820J Obtained Credit


The objective of this course is to introduce students to the basics of big data methods and tools.   The course begins with a broad and practical introduction to topics in data visualization, data analysis, machine learning and data mining. The course then examine and discuss the current big data ecosystem/infrastructural technologies. Students are expected to obtain a good knowledge of the statistical programming language R and the most cutting-edge big data technologies and frameworks, such as Hadoop, Spark and Drill.

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