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| FIZ7260 | Application of Numerical Methods in Solid State Physics | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of PHYSICS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Süleyman BOLAT | | Co-Lecturer | Prof. Dr. Ali ÖZTÜRK | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To understand and be able to demonstrate how numerical methods for solving problems in solid state physics. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn how to use of developed numerical methods and the power of computers to solve a variety of problems in physics, | 2,4,9,10 | 1,3 | | PO - 2 : | understand the role of simulation as an independent method of research in solid state physics, | 2,4,9,10 | 1,3 | | PO - 3 : | demonstrate some results obtained by computer simulation which constitute an integral part of the solid state physics, | 2,4,9,10 | 1,3 | | PO - 4 : | understand, plan, program, and perform Monte Carlo simulations of the simple systems, | 2,4,9,10 | 1,3 | | PO - 5 : | understand the basic concepts and techniques of molecular dynamics and other methods of computer simulation of solid state physics. | 2,4,9,10 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Monte Carlo integration method, Ising model-Monte Carlo simulation, random walk and diffusion, molecular dynamic, The Dirac comb and the Kronig-Penney model |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Monte Carlo integration method | | | Week 2 | Monte Carlo integration method | | | Week 3 | Monte Carlo integration method | | | Week 4 | Ising model-Monte Carlo simulation | | | Week 5 | Ising model-Monte Carlo simulation | | | Week 6 | Ising model-Monte Carlo simulation | | | Week 7 | random walk and diffusion | | | Week 8 | Mid-term exam | | | Week 9 | random walk and diffusion | | | Week 10 | molecular dynamic | | | Week 11 | molecular dynamic | | | Week 12 | The Dirac comb, second mid term exam | | | Week 13 | The Dirac comb | | | Week 14 | Kronig-Penney model | | | Week 15 | Kronig-Penney model | | | Week 16 | End-of-term exam | | | |
| 1 | Hjorth-Jensen, M. 2007; Computational Physics, University of Oslo. | | | |
| 1 | Kittel, C. 1996; Introduction to Solid State Physics, 7th ed., Wiley. | | | 2 | J.Barth, T., Deconinck, H. 1999; High-Order methods for computational physics, Berlin: Springer. | | | 3 | Binder, K., Baumgartner, A. 1992; The Monte Carlo method in condensed matter physics, Berlin. | | | 4 | Greenspan, D., 1974; Discrete numerical methods in physics and engineering, New York: Academic Press. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | ../11/20.. | 2 | 50 | | End-of-term exam | 16 | ../02/20.. | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 10 | 2 | 20 | | Arasınav | 3 | 2 | 6 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 5 | 14 | 70 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 3 | 1 | 3 | | Dönem sonu sınavı | 3 | 1 | 3 | | Diğer 1 | 2 | 6 | 12 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 198 |
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