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.
More info
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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)

SCINDHIYA LAXMI

M.Sc (Mathematics and Scientific Computing)

IITR

FARHAN MUSANNA

Pursuing Ph.D., MATHEMATICS, DEPARTMENT OF MATHEMATICS

IITR

 Course Duration : Aug-Sep 2018
  View Course
 Enrollment : 18-Apr-2018 to 06-Aug-2018
 Exam registration : 25-Jun-2018 to 28-Aug-2018
 Exam Date : 07-Oct-2018

Enrolled

2642

Registered

290

Certificate Eligible

221

Certified Category Count

Gold

6

Silver

0

Elite

77

Successfully completed

138

Participation

31

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Matrix Analysis with Applications - Toppers list
Top 1 % of Certified Candidates

DEBOPAM GHOSH 100%

AMDER

BALAJI B 99%

INDIAN INSTITUTE OF TROPICAL METEOROLOGY

SANJAY GUPTA 99%


Top 2 % of Certified Candidates

BALAIAH MOTHUKURI 94%

PRAGATI ENGINEERING COLLEGE


Top 5 % of Certified Candidates

K ARUN PRAKASH 90%

KONGU ENGINEERING COLLEGE

SHWETA AGRAWAL 90%

INDERPRASTHA ENGINEERING COLLEGE

RUPESH KUMAR SRIVASTAV 87%

AMBALIKA INSTITUTE OF MANAGEMENT AND TECHNOLOGY

SOUMYADIP BANERJEE 85%

KALYANI GOVT. ENGINEERING COLLEGE

VIVEK SAHU 83%

DR. C.V. RAMAN UNIVERSITY KOTA, BILASPUR (C.G.)

KHYATI 83%

BANARAS HINDU UNIVERSITY

N SYAM PRASAD 82%

GUDLAVALLERU ENGINEERING COLLEGE

ANBU MEENA M 82%

TRP ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 2642

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Assignment Statistics



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Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.