Course Name: Advanced Partial Differential Equations

Course abstract

The precise idea to study partial differential equations is to interpret physical phenomenon occurring in nature. Most often the systems encountered, fails to admit explicit solutions but fortunately qualitative methods were discovered which does provide ample information about the system without explicitly solving it. In this course we will explore the basic ideas of studying first order equations starting with the inner workings of method of characteristics followed by the three fundamental second order PDEs namely Laplace equation, Heat equation and Wave equation.


Course Instructor

Media Object

Prof. Kaushik Bal

Prof. Kaushik Bal, assistant professor in the dept of Math and Stat, IIT Kanpur. He completed PhD in 2011 under the supervision of Prof Jacques Giacomoni from UPPA, France with a specialization in elliptic and parabolic PDEs. Currently his research interest revolves around nonlinear Schrodinger equation and nonlocal Hardy and Poincare inequalities in Sobolev space setting.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Mar-2021

 Exam Date : 25-Apr-2021

Enrolled

2097

Registered

9

Certificate Eligible

1

Certified Category Count

Gold

0

Silver

0

Elite

0

Successfully completed

1

Participation

4

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
Advanced Partial Differential Equations - Toppers list

Enrollment Statistics

Total Enrollment: 2097

Registration Statistics

Total Registration : 9

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.