Course Name: Partial Differential Equations

Course abstract

Partial Differential Equations (PDEs) appear as mathematical models for many a physical phenomena. Closed-form solutions to most of these PDEs cannot be found. One of the possible ways to understand the models is by studying the qualitative properties exhibited by their solutions. In this course, we study first order nonlinear PDEs, and the properties of the three important types of second order linear PDEs (Wave, Laplace, Heat) would be studied and compared.


Course Instructor

Media Object

Prof. Sivaji Ganesh

I did my M.Sc in Mathematics from University of Hyderabad, and Ph.D from Indian Institute of Science, Bangalore. I worked as a post-doctoral fellow at TIFR Bangalore, University of Joseph Fourier and University of Jean-Monnet before joining Indian Institute of Technology Bombay.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2021

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 Syllabus

 Enrollment : 20-May-2021 to 02-Aug-2021

 Exam registration : 17-Jun-2021 to 17-Sep-2021

 Exam Date : 23-Oct-2021

Enrolled

1458

Registered

28

Certificate Eligible

14

Certified Category Count

Gold

1

Silver

2

Elite

5

Successfully completed

6

Participation

10

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 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Partial Differential Equations - Toppers list

PARTHKUMAR BHANUBHAI TRIVEDI 94%

GOVERNMENT ENGINEERING COLLEGE, BHAVNAGAR

ANITA RANI DEVGAN 85%

GNN College, Doraha

Enrollment Statistics

Total Enrollment: 1458

Registration Statistics

Total Registration : 28

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.