PHYS533 THEORY OF MANY-PARTICLE SYSTEMS I

Course Code:2300533
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Physics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assist.Prof.Dr AHMET KELEŞ
Offered Semester:Once in several years.

Course Objectives

This course introduces the theoretical framework for nonrelativistic many-particle systems, emphasizing both fermionic and bosonic cases. Students will develop a solid understanding of ground-state formalisms and Green’s function techniques as fundamental tools of many-body physics. The course further explores linear response theory and the emergence of collective modes, providing a unified description of how interacting particles give rise to macroscopic phenomena in condensed matter systems.


Course Content

Nonrelativistic many-particle systems, ground-state formalism, Green's function, Fermi systems, Bose systems, linear response and collective modes.


Course Learning Outcomes

By the end of this course, students will be able to:

  • Describe the theoretical framework of nonrelativistic many-particle systems and distinguish between fermionic and bosonic cases.
  • Apply ground-state formalisms to analyze interacting quantum systems.
  • Use Green’s function methods to study single-particle and many-body properties.
  • Employ linear response theory to calculate susceptibilities and response functions.
  • Analyze the origin and behavior of collective modes in interacting Fermi and Bose systems.

 


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1They are competent in the fundamentals of Physics and in the subfield of their thesis work.
2They have necessary skills (literature search, experiment design, project design, etc.) for doing research with guidance of a more experienced researcher.
3They can communicate research results in a proper format (journal article, conference presentation, project report etc.)
4They can learn necessary skills and techniques (theoretical, experimental, computational etc.) on their own.
5They have necessary skills to work as team member in a research group.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution