COURSE UNIT TITLE

: STATISTICAL PHYSICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

Physics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÜMIT AKINCI

Offered to

Physics

Course Objective

The main aim of the course is to teach the basic approach and laws of statistical physics, which enable us to obtain the thermodynamic observables of multi-particle systems from the microscopic building blocks that make up the system. For this purpose, the basic concepts of classical ensembles and Boltzmann statistics as well as the basic approaches of quantum statistics constitute the main body of the course.

Learning Outcomes of the Course Unit

1   Understanding the basic approaches of statistical physics
2   Understand the basic concepts of ensemble theory
3   To be able to calculate observables of systems within the scope of classical statistical physics
4   To be able to recognize the basic approach of quantum statistical mechanics and quantum ensembles.
5   To be able to calculate observables of systems within the scope of quantum statistical physics

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 Fluctuations
7 Grand canonical ensemble
8 Connection with thermodynamics
9 Problem solutions
10 Quantum statistical mechanics
11 Quantum ensembles I
12 Quantum ensembles II
13 Quantum ensembles III
14 Problem solutions

Recomended or Required Reading

Textbook:
F, Reif (1965) , Fundamentals of Statistical and Thermal Physics, Waveland Press, 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 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 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. At %50 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)

umit.akinci@deu.edu.tr

Office Hours

Will be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Tutorials 14 2 28
Preparations before/after weekly lectures 11 4 44
Preparation for midterm exam 1 3 3
Preparation for final exam 1 3 3
Preparing presentations 1 4 4
Web Search and Library Research 6 3 18
Midterm 1 2 2
Project Assignment 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 162

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.154452212211111
LO.254452212211111
LO.355452212211111
LO.455452212251111
LO.555452212211111