Ve 572: Methods and Tools for Big Data
Course description: 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.
Credit hours: 3 credits
Pre-requisites: Ve401 and Ve482
Course Category: Master Degree Course, Ph.D Course
Terms offered: Summer