Course Name: Introduction to Finite Volume Methods I

Course abstract

The Finite Volume Method (FVM) is one of the widely used numerical techniques in the scientific community and in industry as well. In this approach, the partial differential equations that represent the conservation laws to simulate fluid flow, heat transfer, and other related physical phenomena, are transformed over differential volumes into discrete algebraic equations over finite volumes (or elements or cells). Thereafter, the system of algebraic equations is solved to compute the values of the dependent variable for each of the elements to represent the physical processes.


Course Instructor

Media Object

Dr. Ashoke De

Dr. Ashoke De is currently working as Associate Professor in the Department of Aerospace Engineering at Indian Institute of Technology Kanpur. He leads large scale initiatives in the modeling of turbulent reacting and non-reacting flows at IIT Kanpur. So far, he has authored more than 90 peer reviewed articles in journals and conferences. His primary research focus is the emerging field of computational mechanics with particular interest in combustion and turbulent flows.
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Teaching Assistant(s)

 Course Duration : Aug-Oct 2018

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 Syllabus

 Enrollment : 18-Apr-2018 to 27-Aug-2018

 Exam registration : 25-Jun-2018 to 28-Aug-2018

 Exam Date : 28-Oct-2018

Enrolled

1488

Registered

37

Certificate Eligible

18

Certified Category Count

Gold

0

Elite

5

Successfully completed

13

Participation

5

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.
Introduction to Finite Volume Methods I - Toppers list

ANTONY AROUL RAJ 82%

EASWARI ENGINEERING COLLEGE

VINEET KUMAR DAWARA 77%

DIT UNIVERSITY

Enrollment Statistics

Total Enrollment: 1488

Registration Statistics

Total Registration : 37

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.