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Facilities:

  • 5 well-equipped laboratories updated with latest software.
  • Classrooms are equipped with projectors for demonstrating real-world examples.
  • 2 CoEs (BigData & IoT) for carrying out extensive research work in their respective areas.




CoE:

  • Department of Information Technology has 2 CoEs (Center of Excellences) – BigData & IoT. These CoEs’ facilitate the student & faculty to work on the cutting edge technologies like Data Analytics, Machine Learning, Deep Learning, Python scripting, Hadoop, Raspberry Pi, & so on. These CoEs’ will also assist students to be a step ahead various inter-collegiate competitions & industry ready. Various research projects are being carried out by faculty & students are encouraged to be a part of it.


RESEARCH AREAS & PUBLICATION:

  • Department of Information Technology encourages faculty as well as students to participate in research work in various areas like BigData, Data Mining, Machine Learning, Artificial Intelligence, IoT, & so on. Department of Information Technology faculties have published 18 papers in various journals of SCOPUS/ WOS indexed in the year 2017-18 and 21 scopus papers and 1 conference in reputed journals in the year 2018-19. Twelve papers were published in SCOPUS indexed & six papers were published in WOS indexed in areas like Data Mining, Machine Learning, BigData & IoT.


KEY DIFFERENTIATORS:

  • 90% of the staff is engaged in Research work under various Research areas.
  • 2 Centre of Excellences & well-equipped laboratories.
  • 50 % of Staff completed IUCEE certification and remaining are undergoing IUCEE certification program
  • 3 Doctorates
  • 39 papers were published in reputed journals (33 SCOPUS indexed, 6 WOS, 1 scopus conference).
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