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Big Data Analytics in EECS

Big Data Analytics in EECS

Big Data Analytics are transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. Big Data analytics represents a new era of computing, where data in any format maybe processed and exploited to extract insights for industries and organizations to make informed decisions, whether that data is in-place, in motion or at-rest, in large volume, structured or unstructured.

New Faculty in Big Data

Electrical Engineering and Computer Science welcomes new faculty in the area of Big Data Analytics!

  • Derek Anderson, associate professor, Electrical Engineering and Computer Science
  • Gergei Bana, assistant professor, Electrical Engineering and Computer Science
  • Syed Kamrul Islam, professor and chair, Electrical Engineering and Computer Science
  • Wei Jiang, associate professor, Electrical Engineering and Computer Science
  • Dan Lin, associate professor, Electrical Engineering and Computer Science
  • Petros Valettas, assistant professor, Electrical Engineering and Computer Science

Big Data Analytics Summer Experience

Big Data Analytics Summer School will introduce several key Big Data processing and analytics technologies and teach practical skills and practices using Amazon Elastic MapReduce Web services and other valuable resources to bridge the gap between classroom learning and the real world.

This program is open to undergraduate students, graduate students, and professionals. Basic knowledge of college – level mathematics and /or statistics is required. Basic knowledge of Linux operating systems, programming language, and database concepts is preferred.
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