PH615 : Statistical Mechanics

Department

Physics

Academic Program

Master in Physics

Type

Compulsory

Credits

03

Prerequisite

PH610PH620PH625

Overview

This course aims to familiarize yourself with and deal with micro- and multi-particle systems, use some statistical concepts and formulas in solving physics problems, help develop thinking skills and methods in dealing with advanced issues in multi-particle systems, and also use some advanced numerical concepts and methods to study multi-particle systems.

Intended learning outcomes

By the end of this course the student will be able to:1- Crystallize the physical issue in the form of a mini-scientific research.2- Linking the foundations and concepts of the course and dealing with them in the future3- List the extrinsic properties of of advanced thermal and statistical physics.4- Define the quantization concept.

Teaching and learning methods

1- Lectures.

2- Data show Presentation.

3- Assignments.

4- Discussions.

5- Web based search.

Methods of assessments

1- Midterm exam first 20%.

2- Half exercises 5%.

3- Second midterm exam 20%.

4- Half exercises 5%.

5- Final exam 50%

Course contents

Week Due

exercises

Lectures

contact hours

Topics List

1

-

3

3

Review of thermodynamics

1

-

3

3

Fundaments of statistical physics

1

-

3

3

Ensembles and their equivalence

1

-

3

3

The idea of Monte Carlo simulations

1

--

3

3

Principles of quantum statistical mechanics

1

-

3

3

Classical and quantum gases

1

-

3

3

Fermions: The Fermi sea

1

--

3

3

Bose systems: Bose-Einstein condensation, superfluidity

1

-

3

3

Solids, phonons; radiation, Planck’s law

2

-

6

6

Magnetic systems: Ising model, Heisenberg model

2

-

6

6

Critical phenomena (second order phase transitions), Goldstone modes

1

-

3

3

Ginzburg-Landau theory and ideas of renormalization group and universality

Learning Resources

Text Book

Reference's name

publisher

Release

Author

A modern course in statistical physics

John Wiley

2nd

L. E. Reichl

Statistical Mechanics

Elsevier Ltd

3rd

R. K. Pathria