Course Name: Numerical Linear Algebra

Course abstract

This course is a basic course offered to UG/PG students of Engineering/Science background. It contains basics of matrix algebra, computer arithmetic, conditioning and condition number, stability of numerical algorithms, vector and matrix norms, convergent matrices, stability of non-linear systems, sensitivity analysis, singular value decomposition (SVD), algebraic and geometric properties of SVD, least square solutions, Householder matrices and applications, QR method, Power method and applications, Jacobi method for finding the eigenvalues of a given matrix. This course has tremendous applications in diverse fields of Engineering and Sciences such as control theory, image processing, numerical analysis and dynamical systems etc.


Course Instructor

Media Object

Prof. P. N. Agrawal

Dr. P. N. Agrawal is a Professor in the Department of Mathematics, IIT Roorkee. His area of research includes approximation Theory and Complex Analysis. He delivered 13 video lectures on Engineering Mathematics in NPTEL Phase I and recently completed Pedagogy project on Engineering Mathematics jointly with Dr. Uaday Singh in the same Department. Further he has completed online certification course “Mathematical methods and its applications” jointly with Dr. S.K. Gupta of the same department. He taught the course on “Integral equations and calculus of variations” several times to MSc (Industrial Mathematics and Informatics) students. He has supervised nine Ph.D. theses and has published more than 187 research papers in reputed international journals of the world. Currently, he is supervising eight research students.


Teaching Assistant(s)

ASHISH KUMAR

M.Sc., Mathematics; Ph. D. persuing

Ruchi

Research Scholar

Tarul Garg

Research Scholar

 Course Duration : Jan-Apr 2018
  View Course
 Enrollment : 20-Nov-2017 to 22-Jan-2018
 Exam registration : 08-Jan-2018 to 07-Mar-2018
 Exam Date : 28-Apr-2018

Enrolled

2954

Registered

171

Certificate Eligible

128

Certified Category Count

Gold

3

Silver

0

Elite

48

Successfully completed

77

Participation

16

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - 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
Numerical Linear Algebra - Toppers list
Top 1 % of Certified Candidates

DEBOPAM GHOSH 96%

ATOMIC MINERALS DIRECTORATE


Top 2 % of Certified Candidates

NANDINI AJAY RAI 94%

K. J. SOMAIYA COLLEGE OF ENGINEERING

PRADEEP SINGH 90%

FR. CONCEICAO RODRIGUES COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

ADITYA PRADEEP 88%

IIT Madras

KARTHIK A MAIYA 85%

R V COLLEGE OF ENGINEERING

LILLY DIGAMBAR PRADHAN 83%

PILLAI INSTITUTE OF INFORMATION TECHNOLOGY ENGINEERING MEDIA STUDIES AND RESEARCH

Enrollment Statistics

Total Enrollment: 2954

Data Not Found..!
Data Not Found..!

Assignment Statistics



Feedback Videos

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.