Big Data Analysis introduces students to the latest
technologies and algorithms which are used to process
and analyze large data. This course discusses about
how such data are usually produced, the concept and
the characteristics of big data, the need of computer
clusters to process the data, ecosystems and
processing models/pipelines of big data, as well as
large scale machine learning and data visualization. A
number of use cases are examined in the course. This
includes the uses of available technologies and the
implementation of processing modules and algorithms.
Assignments are given to students to assess their
understanding about the course's materials.