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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS FIZ 3121 FIELD ELECTIVE 5 (STATISTICAL PHYSICS) ELECTIVE 2 0 0 4

Offered By

Physics Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR GAMZE SEZGIN SELÇUK

Offered to

Physics Teacher Education

Course Objective

The aim of this course is to enable students to understand the fundamentals of Statistical Physics.

Learning Outcomes of the Course Unit

1   After completing this course, students will be able to comprehend the basic concepts and probability concepts in the Statistical Physics course 2   After completing this course, students will be able to explain equilibrium situation and distributions of macroscobic parameters of macroscobic systems 3   After completing this course, students will be able to explain the thermal interactions between macroscobic systems using statistical concepts 4   After completing this course, students will be able to use probability equations regarding continuous and discontinuous variables in problem solving 5   After completing this course, students will be able to link between their knowledge about course and daily life and technology

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Features of the Macroscobic Systems: Purpose of the Statistical Physics, Macroscobic system, Distributions around the equilibrium situation 2 Irreversibility and Approach to Equilibrium Situation, The other examples 3 Features of the equilibrium situation, Observation of the distribution, Brown s motion, Distribution of voltage in a resistance 4 Heat and temperature, Typical quantities, Pressure of an ideal gas 5 Basic Probability Concepts: Statistical Population, Simple equations between probabilities 6 Binomial distribution, Average values, Standart deviation and Variance 7 Average value of a spin system, Continuous probability distributions and problem solving 8 An Overview, Course Evaluation, Mid-term exam 9 Statistical description of particle systems: Description of the state of a system (quantum states), A single spin system, A N-spin ideal system 10 A particle in one dimensional box, A particle in three dimensional box, Ideal gas of N particles in a three dimensional box 11 Statistical population, Accessible states of a system and examples 12 Statistical postulations, Probability calculations and examples 13 Accessible state number of a macroscobic system, An example of a single particle in one dimensional box, An example of a single particle in three dimensional box 14 Interactions between systems: Thermal Interaction, Adiabatic Isolation, Adiabatic Interaction, General Interaction 15 Final Exam

Recomended or Required Reading

Reif, F. (1967). Statistical Physics. Mcgraw-Hill Book Company; First Edition.

Planned Learning Activities and Teaching Methods

Lecture method, Question-Answer, Discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 VZ Midterm 2 FN Semester final exam 3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60 4 BUT Make-up note 5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60

Further Notes About Assessment Methods

written exams

Assessment Criteria

Students' mid-term and final grades determine their success

Language of Instruction

Turkish

Course Policies and Rules

Attendance to the course is important. Students are required to attend 70% of the class.

Contact Details for the Lecturer(s)

gamze.sezgin@deu.edu.tr Office tel: 0 232 301 24 38

Office Hours

Between 09:00-17:00 on weekdays, outside of class hours

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 7 2 14 Preparation for final exam 7 3 21 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 89

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 PO.16 PO.17 PO.18 PO.19 PO.20 LO.1 2 3 4 LO.2 4 3 4 LO.3 2 3 2 3 LO.4 2 3 2 4 2 1 5 LO.5 2 3 2 4 2 1