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)

No teaching assistant data available for this course yet
 Course Duration : Sep-Nov 2020
  View Course
 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 20-Dec-2020

Enrolled

2562

Registered

253

Certificate Eligible

159

Certified Category Count

Gold

22

Silver

44

Elite

38

Successfully completed

55

Participation

66

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

T V N PRASANNA 98%

VIGNANS NIRULA INSTITUTE OF TECHNOLOGY & SCIENCE FOR WOMEN

KRISHNA KUMAR G 97%

Department of Mathematics, University of Kerala


Top 2 % of Certified Candidates

DR KARABI SIKDAR 96%

BMS Institute of Technology and Management

NANDINI P 96%

JSS ACADEMY OF TECHNICAL EDUCATION, BENGALURU


Top 5 % of Certified Candidates

VIJAYKUMAR JAYANTIBHAI SOLANKI 95%

Government Engineering College, Bharuch

DWAIPAYAN DUTTA 95%

BANKURA SAMMILANI COLLEGE

ANTHONY CHRISTY MELSON 94%

B.M.S. College of Engineering

A V RAMAKRISHNA 94%

R.V.R. & J.C. COLLEGE OF ENGINEERING

BANKA SATHANNA 94%

Rajiv Gandhi University of Knowledge Technologies

Enrollment Statistics

Total Enrollment: 2562

Registration Statistics

Total Registration : 253

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.