Course Name: Computational Science and Engineering Using Python

Course abstract

Computational Science and Engineering using Python ABOUT THE COURSE: Computing has become a major tool in science and engineering so much so that it is called the third pillar along with experiments and theory. In this course, we first introduce Python programming language. Then we cover basic numerical algorithms covering interpolation, integration, differentiation, ODE and PDE solvers, and basic linear algebra. Python implementation of these algorithms will be covered.


Course Instructor

Media Object

Prof. Mahendra Verma

Mahendra Verma is Professor in the physics department of IIT Kanpur. He is a leading researcher in computational and theoretical turbulence, and parallel computing. He and his group have developed a spectral code TARANG that can simulate variety of fluids. He has a written a Textbook �Introduction to Mechanics"
More info

Teaching Assistant(s)

ABHISHEK KUMAR

Doctor of Philosophy
DEPARTMENT OF PHYSICS
IIT Kanpur

ROSHAN JOHN SAMUEL

Doctor of Philosophy
DEPARTMENT OF PHYSICS
IIT Kanpur

SATYAJIT BARMAN

Doctor of Philosophy
DEPARTMENT OF PHYSICS
IIT Kanpur

 Course Duration : Jan-Mar 2017
  View Course
 Syllabus
 Enrollment : 01-Jan-2017 to 23-Jan-2017
 Exam registration : 30-Jan-2017 to 27-Feb-2017
 Exam Date : 26-Mar-2017

Enrolled

3245

Registered

81

Certificate Eligible

46

Certified Category Count

Gold

6

Elite

21

Successfully completed

19

Participation

10

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = 15% of best 6 out of 8 MCQ assignments + 10% Programming Assignment.
  • Final exam: 25%Programming + 50% MCQ
  • FINAL SCORE = Exam Score(Programming, MCQ) + Assignment Score(Programming, MCQ)
Computational Science and Engineering Using Python - Toppers list

VIJAYASARATHI JANARDHANAM 96%

NOT APPLICABLE

PARAMJEET S DESAI 95%

DHIRUBHAIAMBANI INSTITUE OF INFORMATION AND COMMUNICATION TECHNOLOGY

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.