FÄ°Z609 - PHASE TRANSITIONS and CRITICAL PHENOMENA I

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
PHASE TRANSITIONS and CRITICAL PHENOMENA I FÄ°Z609 Any Semester/Year 3 0 3 6
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
 
Instructor (s)Assigned by Department of Physics Engineering 
Course objectiveProvide advanced knowledge about phase transition and critical phenomena 
Learning outcomes
  1. The concept of critical phenomena, the useful thermodynamic quantities with their relations for fluid and magnetic systems, I. and II. order phase transitions, critical point exponents and relations among them, some examples of exponent inequalities for magnetic systems, The Van der Waals theory of Liguid-gas Phase Transitions and the mean field theory of magnetic Phase Transitions are will be learned.
Course Content* Critical Phenomena,
* Useful Thermodynamic Relations,
* Critical ? point exponents and relations among them,
* Exponent Inequalities,
* The Van der Walls theory of Liquid-gas Phase Transitions,
* The Mean Field Theory of Magnetic Phase Transitions
 
References* H. E. Stanley, (1987), Introduction to Phase Transitions and Critical Phenomena ( Oxford University Press, New York)

* N. Goldenfeld (1992), Lectures on Phase Transitions and Ther Renormalization Group (Addison-Wesley Publishing Company, New York)

* C. J. Thompson, (1988), Classical Equilibrium Statistical Mechanics (Clarendoron Press, Oxford)

 

Course outline weekly

WeeksTopics
Week 1Introduction
Week 2Critical Phenomena
Week 3Critical Phenomena
Week 4Useful Thermodynamic Relations
Week 5Critical - point exponents and relations among them
Week 6Critical - point exponents and relations among them
Week 7Midterm I
Week 8Exponent Inequalities
Week 9Exponent Inequalities
Week 10The Van der Walls theory of Liquid
Week 11The Mean Field Theory of Magnetic Phase Transitions
Week 12Midterm II
Week 13Preparation for final exam
Week 14Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments220
Presentation00
Project00
Seminar00
Midterms240
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation000
Project000
Homework assignment21326
Midterms (Study duration)23060
Final Exam (Study duration) 11010
Total Workload3359180

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Combines mathematics, science and engineering knowledge in a multidisciplinary manner and implement into modern technological and scientific advanced research.    X
2. Accesses, interprets, and implements information by doing in depth applied research for technological applications.  X  
3. Develops original models and designs methods to solve problems by using relevant software, hardware, and modern measurement tools.   X 
4. Accesses information by doing research in certain fields, share knowledge and opinions in multidisciplinary work teams.   X 
5. Implements modeling and experimental research; solves encountered complex problems.     
6. Knows and follows recent improvements in the field, utilize new information to solve technological complex problems. Develops and plans methods to solve technological problems in an innovative manner.     
7. Follows recent studies in the field, presents results in national and international meetings.  X  
8. Knows advanced level Turkish and at least one foreign language to be able to present recent results.     
9. Uses advanced communication tools related to technological methods and software.  X  
10. Protects social, scientific, and ethical values while collecting and implementing, data and presenting results in scientific meetings.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest