Course Name: Computational Science in Engineering

Course abstract

The Computational Science in Engineering is a rapidly evolving field that exploits the power of computation as an approach to major challenges on the frontiers of natural and social science and all engineering fields. The primary focus lies on developing problem-solving methodologies and robust tools for numerical simulation. The goal is to present the fundamentals of scientific computing, with short codes to implement the key concepts. This includes a framework for applied mathematics such as Linear Algebra, ODEs and PDEs. To understand phenomena and processes from science and engineering, these simulations require advanced skills in mathematical modelling, numerical analysis, efficient algorithms, computer architecture, software design and implementation, validation, and visualization of results.


Course Instructor

Media Object

Prof. 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)

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

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 Syllabus

 Enrollment : 18-Nov-2020 to 15-Feb-2021

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

 Exam Date : 24-Apr-2021

Enrolled

1978

Registered

32

Certificate Eligible

6

Certified Category Count

Gold

0

Silver

1

Elite

2

Successfully completed

3

Participation

7

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
Computational Science in Engineering - Toppers list

DANGARWALA RUTVIK KAMLESH 75%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

Enrollment Statistics

Total Enrollment: 1978

Registration Statistics

Total Registration : 32

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.