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.


More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Aug-Oct 2021
  View Course
 Syllabus
 Enrollment : 20-May-2021 to 23-Aug-2021
 Exam registration : 17-Jun-2021 to 17-Sep-2021
 Exam Date : 24-Oct-2021

Enrolled

2174

Registered

432

Certificate Eligible

259

Certified Category Count

Gold

9

Silver

61

Elite

80

Successfully completed

109

Participation

128

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
    Note:We have taken best assignment score from both July 2020 and July 2021 courses
Matrix Analysis with Applications - Toppers list
Top 1 % of Certified Candidates

PRADYUMNA PRADHAN 97%

INDIAN INSTITUTE OF PETROLEUM AND ENERGY, VISAKHAPATNAM

AMBALIKA HALDER 94%

NATIONAL INSTITUTE OF TECHNOLOGY ANDHRA PRADESH

RASHMITA HORE 94%


Top 2 % of Certified Candidates

SHAMAPARVEEN MAHMADASRAF MULLA 91%

SARVAJANIK COLLEGE OF ENGINEERING & TECHNOLOGY

RUPAM KUMARI 91%

University of Lucknow

SUBHAJIT PRAMANICK 91%

BANARAS HINDU UNIVERSITY


Top 5 % of Certified Candidates

NEPUR RANJAN HAZARIKA 90%

COTTON UNIVERSITY

PURNASHA DHAR 90%

COTTON UNIVERSITY

ANKUR KUMAR SARMA 90%

COTTON UNIVERSITY

MEHUL CHAKRABORTY 87%

BANARAS HINDU UNIVERSITY

MOINAK GHOSH 87%

BANARAS HINDU UNIVERSITY

DARATHI SAIKIA 87%

COTTON UNIVERSITY

DR YOGITA GAJANAN DATAR 87%

SHREE SIDDHESHWAR WOMENS COLLEGE OF ENGINEERING, SOLAPUR

Enrollment Statistics

Total Enrollment: 2174

Registration Statistics

Total Registration : 431

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.