Course Name: Mathematical Methods in Physics 2

Course abstract

This would be the second of a two-part series on Mathematical Methods in Physics. The aim here is to provide a solid mathematical foundation for the budding Physicist eager to climb the ladder of self-learning. This course is designed to cater to an undergraduate student who excitedly embarks on a study of Physics, but is obstructed by the mathematics which appears so forbidding. The approach we will follow is one of showing many examples, and weaving the theory around examples. When possible, we will show how Mathematica can be used to offer extra insight.


Course Instructor

Media Object

Prof. Auditya Sharma

Auditya Sharma: Got a B.Tech in Engineering Physics from IIT Madras in 2006, followed by a PhD in Physics with specialization in Statistical Physics from the University of California at Santa Cruz in 2011.
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Teaching Assistant(s)

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

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 Syllabus

 Enrollment : 20-May-2021 to 23-Aug-2021

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

 Exam Date : 24-Oct-2021

Enrolled

772

Registered

30

Certificate Eligible

7

Certified Category Count

Gold

0

Silver

0

Elite

5

Successfully completed

2

Participation

16

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
Mathematical Methods in Physics 2 - Toppers list

MRINAL KUMAR 69%

Enrollment Statistics

Total Enrollment: 772

Registration Statistics

Total Registration : 30

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.