Computation & Mathematics

The objective of the Computation & Mathematics program is to prepare engineering professionals with a strong foundation in Computer Science, Mathematics, and Scientific Computation.

Overview

Computation & Mathematics

The objective of the Computation & Mathematics program is to prepare engineering professionals with a strong foundation in Computer Science, Mathematics, and Scientific Computation. Acknowledging the scarcity of professionals equipped with cutting edge mathematical techniques appearing in Data Science, Data Analytics, Optimization, Deep Learning, AI, and ML, this program aims to correct this gap. Further, this program intends to prepare a mindset for smooth adaptation and transition to new emerging technologies of the future driven by fundamentals of mathematics.

The students will be trained in the skills necessary to solve advanced scientific problems arising in multi-disciplinary domains such as Mathematical Finance, Computational Biology, Computational Topology, Quantum Computing, Cryptography, Data Structures, Graph Algorithms, Design and Analysis of Algorithms, Theory of Computation, Computer Networks, Operating Systems, Database Management Systems among many more domains. Further, the program offers many specialized courses via multiple Elective Baskets. Apart from acquiring advanced skills, students will be exposed to basic sciences and engineering concepts, design thinking, enterprise, economy, and entrepreneurship. In addition, emphasis will be given towards effective communication, personality, and soft skills development.

Graduates of this program will be able to solve real-life problems faced by industries that require a mathematical approach of solutions blended with elegant computing techniques. They will be well prepared to pursue interdisciplinary research careers encompassing scientific computation, data analysis, and mathematical modelling. The graduates will exhibit entrepreneurial mindset and interpersonal skills along with technical knowledge for effective communication, innovation and implementation of new ideas.

Outline of curriculum:

  • First year: Getting initiated
  • Second year: Basics for abstract Mathematical thinking
  • Third year: Blending Mathematics & Computation
  • Fourth year: Applications to real world

Focus Areas:

  • Data Science/Data Analytics
  • Financial Mathematics
  • Quantum computing
  • Cryptography
  • Drug Design

Credits Split:

computation

Download Brochure List of Courses

Faculty

  • Biswarup Biswas
    Biswarup Biswas

    Assistant Professor
    Department of Mathematics

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  • Chirala Satyanarayana
    Chirala Satyanarayana

    Associate Professor & HOD
    Department of Mathematics

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  • Meraj Alam
    Meraj Alam

    Assistant Professor
    Department of Mathematics

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  • Jai Prakash
    Jai Prakash

    Associate Professor
    Department of Mathematics

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  • Mahipal J
    Mahipal J

    Associate Professor
    Department of Mathematics

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  • Manoj Kumar Yadav
    Manoj Kumar Yadav

    Assistant Professor
    Department of Mathematics

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  • Pradeep Kumar Rai
    Pradeep Kumar Rai

    Assistant Professor
    Department Of Mathematics

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  • Rakesh Prasad Badoni
    Rakesh Prasad Badoni

    Assistant Professor
    Department of Mathematics

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  • Rakhee Basu
    Rakhee Basu

    Assistant Professor
    Department of Mathematics

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  • Ravibabu Mashetti
    Ravibabu Mashetti

    Assistant Professor
    Department Of Mathematics

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  • Dr. Sanjukta Das
    Dr. Sanjukta Das

    Assistant Professor
    Department of Mathematics

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