Course Name: Statistical Mechanics

Course abstract

The course is designed to give the students a firm understanding of statistical mechanics at the advanced undergraduate/beginning graduate level. After a discussion of the concepts of probability, the postulates of classical mechanics are developed in various ensembles of physical relevance. The ideas thus developed for the classical systems will be shown to have serious limitations when applied to quantum systems. Finally, we develop the correct theory of statistical mechanics for quantum systems and show that classical results can be recovered from the quantum theories in the high temperature - low density limit.


Course Instructor

Media Object

Prof.Ashwin Joy

I work as a faculty member at the Department of Physics, IIT Madras and am very much interested in the problems of non-equilibrium statistical mechanics and turbulence. I did my doctoral work at IPR Gandhinagar with Prof. R. Ganesh and post-doctoral work with Prof. Itamar Procaccia, Weizmann Institute of Science, Israel.
More info

Teaching Assistant(s)

SACHIN C N

PH.D, Physics

 Course Duration : Jan-Apr 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019

 Exam Date : 28-Apr-2019, 28-Apr-2019

Enrolled

1430

Registered

54

Certificate Eligible

28

Certified Category Count

Gold

4

Silver

7

Elite

6

Successfully completed

11

Participation

10

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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.
Statistical Mechanics - Toppers list

SHAMS IMRAN SIDDIQUI 98%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

SUSOBHAN CHATTOPADHYAY 98%

INDIAN INSTITUTE OF TECHNOLOGY,KHARAGPUR

Enrollment Statistics

Total Enrollment: 1430

Registration Statistics

Total Registration : 54

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.