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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Prof. 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 40 papers in various international journals of repute.


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Prof. 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)

VRINDA DHINGRA

P.hD

Farhan Musanna

P.hD

 Course Duration : Aug-Oct 2019
  View Course
 Syllabus
 Enrollment : 15-May-2019 to 26-Aug-2019
 Exam registration : 01-Jun-2019 to 30-Sep-2019
 Exam Date : 17-Nov-2019, 17-Nov-2019

Enrolled

4495

Registered

686

Certificate Eligible

394

Certified Category Count

Gold

7

Silver

97

Elite

170

Successfully completed

120

Participation

189

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

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

G SUDHA 93%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

NANDINI RAI 92%

K. J. SOMAIYA COLLEGE OF ENGINEERING

MURTUZA NULLWALA 92%

RAMRAO ADIK INSTITUTE OF TECHNOLOGY

NARESH VASANT AFRE 91%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

RAVI KUMAR DAVALA 91%

GAYATRI VIDYA PARISHAD COLLEGE OF ENGINEERING

SARBENDU RAKSHIT 91%

Indian Statistical Institute


Top 2 % of Certified Candidates

HRUSHIKESH VIJAY BHAGWAT 90%

SANJIVANI COLLEGE OF ENGINEERING

YOGESH MOHANLAL THAKKAR 87%

K.J.SOMAIYA COLLEGE OF ENGINEERING

L N P KUMAR RALLABANDI 87%

GAYATRI VIDYA PARISHAD COLLEGE OF ENGINEERING

CHITRADEEP SAHA 87%

BANARAS HINDU UNIVERSITY


Top 5 % of Certified Candidates

NITIN SAMPAT ABHALE 86%

SANJIVANI COLLEGE OF ENGINEERING

VSSBBK SASTRY MANDA 86%

UNIVERSITY COLLEGE OF ENGINEERING KAKINADA, JNTUK KAKINADA

S KAVITHA 86%

private

PRASANNA DAS 86%

BANARAS HINDU UNIVERSITY

M.ARUNKUMAR 86%

PSG COLLEGE OF ARTS & SCIENCE

N GIRIBABU 86%

GAYATRI VIDYA PARISHAD COLLEGE OF ENGINEERING

SARAVANAN M 85%

KALASALINGAM ACADEMY OF RESEARCH AND EDUCATION

KARUPPIAH K 85%

Government College of Engineering, Bodi

SURENDRA SINGH GAUTAM 84%

GOVERNMENT POLYTECHNIC GARIYABAND (C.G.)

RAKSHITH B. R. 84%

VIDYAVARDHAKA COLLEGE OF ENGINEERING

MOUSUMI GHOSH 84%

MALLABHUM INSTITUTE OF POLYTECHNIC

MEENA DEVI 84%

ST.JOSEPHS COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 4495

Registration Statistics

Total Registration : 686

Assignment Statistics



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.