Course Name: Multivariable Calculus

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

Media Object

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)

VRINDA DHINGRA

P.hD

Km. Deepa

P.hD

 Course Duration : Jan-Mar 2020

  View Course

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 21-Feb-2020

 Exam Date : 29-Mar-2020

Enrolled

1533

Registered

17

Certificate Eligible

10

Certified Category Count

Gold

1

Silver

4

Elite

3

Successfully completed

2

Participation

3

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
Multivariable Calculus - Toppers list

GAUTAM KALITA 95%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, GUWAHATI

Enrollment Statistics

Total Enrollment: 1533

Registration Statistics

Total Registration : 156

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.