Facilities

School of Computer Science and Engineering (SCOPE)

Laboratories

The computing centre of School of Computing Science and Engineering supports 800 clients across the various laboratories with five IBM Rack Mounted servers X3650, an IBM XEON-E server and a Wipro net power server. The laboratories are installed with NETOP, a centrally managed teaching tool for assisting students in the laboratory sessions.

  • Computer Programming Lab
  • Open Source Lab
  • Information Security Lab
  • Database Systems Lab
  • Cloud Computing Lab
  • Software Systems Lab
  • Computational Intelligence Lab
  • Machine Vision Lab
  • Intel Multicore Lab
  • IoT Lab
  • Artificial Intelligence Lab
  • High Performance Computing Lab
  • Big Data Analytics Lab
  • Block Chain Technology Lab
  • Data Science Lab
  • Full Stack Development Lab
  • Speech and Natural Language Processing Lab
  • Game Programming Lab
  • Cognitive Computing Lab
  • Intelligent Systems Lab
  • Visual Analytics Lab
  • Web Technology Lab
  • Bioinformatics Lab
  • Computer Networks Lab
  • Human-Computer Interaction Lab

Classrooms

The classrooms are well designed rooms to incorporate everything needed for a pleasant learning atmosphere. The wide spacious classrooms contain a white board, a smart board and a projector that is used for teaching. So a professor can switch to different modes of teaching which may not be monotonous and the lectures are put across in the best way possible. This hi-tech equipment enables our faculty to conduct classes in a way that enable students to make use of every available resource from one point at the click of a button. These classrooms are also often used for seminars and events from time to time.

Pedagogy and Learning Ambience:

The School’s pedagogy aims at preparing students to face real-world challenges using Problem/Project-Based Learning, interactive and participative processes with constant mentoring.

  • There are plenty of opportunities for students to supplement the conventional technical education using the following practices:
    • Industry Visits
    • Programming and Problem-solving Contests
    • Projects and Quiz Competitions
    • Students Seminars and Debates
    • Interviews and Group Discussions
    • Team-building Exercises
    • Innovation and Creativity Clubs
    • Audio-Visual Presentations and Foreign Language Classes
    • Personality Development Programmes

  • The faculty and students use a feature-rich learning management system ‘Acado’ developed by a team led by an eminent IIT professor. They also benefit from the following sources:
    • India’s NPTEL Programme
    • MIT’s Open Courseware
    • CMU’s Open Learning Initiative

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