Course abstract
This course is a basic course offered to UG and PG students of Engineering/Science background. It contains matrices computations involving rank, eigen values, eigen vectors, singularity transformations, (diagonalisation, Joradan canonical etc). It also convers vectors spaces, basis and dimension, linear transformation and their properties. Besides discussing the matrix theory, it also includes its applications in solving diverse science and engineering problems.
Course Instructor
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.
Teaching Assistant(s)
Course Duration : Jan-Mar 2019
View Course
Syllabus
Enrollment : 15-Nov-2018 to 28-Jan-2019
Exam registration : 28-Jan-2019 to 22-Mar-2019
Exam Date : 31-Mar-2019
Enrolled
1881
Registered
184
Certificate Eligible
117
Certified Category Count
Gold
6
Silver
33
Elite
37
Successfully completed
41
Participation
38
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - 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
Enrollment Statistics
Total Enrollment: 1881
Registration Statistics
Total Registration : 184
Assignment Statistics
Exam score
Final score