Course Name: Matrix Analysis with Applications

Course abstract

This course is offered to UG and PG students of Engineering/Science background. It contains the concepts related to matrix theory, related concepts and their applications in various disciplines. It covers a depth understanding of matrix computations involving rank, eigenvalues, eigenvectors, similarity transformations, (diagonalisation, Joradan canonical etc). It also includes applications of matrix theory in optimization, differential equations, numerics, image processing and data analytics.

Course Instructor

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Dr. S. K. Gupta

Dr. S. K. Gupta is an Associate Professor in the Department of Mathematics, IIT Roorkee. His area of expertise includes nonlinear, non-convex and Fuzzy optimization. He has guided three PhD thesis and have published more than 45 papers in various international journals of repute.
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Dr. Sanjeev Kumar

Dr. Sanjeev Kumar is working as an associate professor with Department of Mathematics, IIT Roorkee. Earlier, he worked as a postdoctoral fellow with Department of Mathematics and Computer Science, University of Udine, Italy and assistant professor with IIT Roorkee. He is actively involved in teaching and research in the area of computational algorithms, inverse problems and image processing. He has published more than 55 papers in various international journals conferences of repute. He has completed a couple of sponsored research projects and written several chapters in reputed books published with Springer and CRC press.
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Teaching Assistant(s)


M.Sc (Mathematics and Scientific Computing)


 Course Duration : Aug-Sep 2018

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 Enrollment : 18-Apr-2018 to 06-Aug-2018