COURSE UNIT TITLE

: STATISTICAL PHYSICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FIZ 3016 STATISTICAL PHYSICS COMPULSORY 4 0 0 8

Offered By

Physics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR HAMZA POLAT

Offered to

Physics
Physics(Evening)

Course Objective

Aims of this course is to clarify the properties of matter collectively in terms of the physical laws governing atomic motion. First of all, it is to give the basic concepts of ensembles and Boltzmann statistics. Furthermore, this course is concerned mainly with statistical methods, which provide a bridge between the microscopic and macroscopic world. Applications covered include Fermi statistics, Bose statistics and Bose-Einstein condensation.

Learning Outcomes of the Course Unit

1   It is to understood mainly different between the microscopic and macroscopic physics views
2   Being able to give physical culture the student for following the solid state physics course that is taught in next years.
3   Being able to understand the graduate courses
4   Being able to research the open problem in the statistical physics field in the literature
5   Being able to present the results that is obtained in this field.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The Statistical approach
2 Micro canonical ensemble
3 Maxwell-Boltzmann distribution
4 Derivation of thermodynamics
5 Canonical ensemble
6 Connection with thermodynamics
7 Grand canonical ensemble
8 Midterm
9 Energy fluctuations
10 Quantum statistical
11 Quantum ensembles
12 Fermi Gas and Bose Gas
13 Bose-Einstein condensation
14 Classical spin models

Recomended or Required Reading

Textbook: Huang, Kerson (2010) , Introduction to Statistical Physics 2nd ed. , Taylor and Francis Inc., New York.
References:
1. Bowley, Roger and Sanchez, Mariana, (1999). Introductory Statitical Mechanics 2nd ed. , Oxford University Press, London.
2. Greiner, W., et al., (2000), Thermodynamics and Statistical Mechanics , Springer, Berlin.
3. Tsang, Tung, (2002), Statistical Mechanics , Rinton Press, New York.

Planned Learning Activities and Teaching Methods

1. Lecturing
2.Question-Answer
3.Discussing
4.Homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + FIN * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

1. The homework and mid-term exams of the student is assessed as the achievement of them in the semester.
2. The 60 per cent score of final examination is added directly to the others.

Language of Instruction

Turkish

Course Policies and Rules

1. It is obligated to continue at least 70% of lessons.
2. If the student don t make the homework and attend mid-terms, he does not access the final exam

Contact Details for the Lecturer(s)

hamza.polat@deu.edu.tr

Office Hours

On Monday and Wednesday between 11:00-12:00 a.m.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparations before/after weekly lectures 13 6 78
Preparation for midterm exam 1 7 7
Preparation for final exam 1 7 7
Homework 12 4 48
Final 1 4 4
Midterm 1 4 4
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1543
LO.2454
LO.35434
LO.4442
LO.5331