EP 413 Advanced statistical mechanics (Autumn 2017-18)
Instructor name: Amitabha nandi
Course Type: Honours / Elective
Pre-requisites: Statistical mechanics
Course Content: Stochastic processes, critical phenomena and phase transitions , landau Ginsburg theory, mean field theory, renormalization group(conceptual)
Books: Van kampen for 1st half, kardar for second
Lectures: Use of Blackboard for lecturing
Assignments:Very few tutorials
Exams and Grading: 1 quiz, 1 project, midsem 30% endsem 40%
Pro-Tips: Any book in critical phenomena
Respondent: Mikail
Note: This is a review to help you make a more informed choice about how to study for this course and/or choosing this course. While we've tried to keep it objective and complete, one must keep in mind that students have varying interests, methods of study, and the course itself changes from year to year.
Course Type: Honours / Elective
Pre-requisites: Statistical mechanics
Course Content: Stochastic processes, critical phenomena and phase transitions , landau Ginsburg theory, mean field theory, renormalization group(conceptual)
Books: Van kampen for 1st half, kardar for second
Lectures: Use of Blackboard for lecturing
Assignments:Very few tutorials
Exams and Grading: 1 quiz, 1 project, midsem 30% endsem 40%
Pro-Tips: Any book in critical phenomena
Respondent: Mikail
Note: This is a review to help you make a more informed choice about how to study for this course and/or choosing this course. While we've tried to keep it objective and complete, one must keep in mind that students have varying interests, methods of study, and the course itself changes from year to year.
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