Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Department of Advanced Technologies
  • Doctorate Degree (Ph.D)
  • Program in Nanotechnology (English)
  • Course Structure Diagram with Credits
  • Computation,Simulation and Modelling in Nanotechnology
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title İTN619 - Computation,Simulation and Modelling in Nanotechnology
Course Type Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ İLKER DEMİROĞLU
Mode of Delivery face to face
Prerequisites -
Courses Recomended -
Required or Recommended Resources -
Recommended Reading List -
Assessment methods and criteria Two midterm exams, one final exam (1 project, 1 classical, 1 presentation)
Work Placement -
Sustainability Development Goals Quality Education

Content

Weeks Topics
Week - 1 Introduction to Computation and Modelling in Nanotechnology, General introduction to atomistic modelling methods
Week - 2 Fundamentals of Computer Simulations, Types of simulations, scales, and basic concepts
Week - 3 Quantum Mechanics and Electronic Structure Calculations, Schrödinger equation and fundamental approaches
Week - 4 Introduction to Density Functional Theory (DFT), Basic principles and the Kohn–Sham approach
Week - 5 DFT Calculation Methods and Approaches, Basis sets, pseudopotentials, and exchange-correlation functionals
Week - 6 Calculation of Electronic Properties of Nanomaterials, Band structures, density of states, and charge distributions
Week - 7 Investigation of Mechanical Properties of Nanomaterials Using DFT, Elastic properties and strain analyses
Week - 8 Thermal and Dynamical Properties of Nanomaterials, Phonons, vibrational modes, and stability analyses
Week - 9 Introduction to Molecular Dynamics Simulations, Fundamental algorithms and equations of motion
Week - 10 Classical Force Fields and Potentials, Lennard-Jones, EAM, Tersoff, and ReaxFF potentials
Week - 11 Force Field Development for Nanomaterials, Parameter optimization and validation methods
Week - 12 Thermal and Dynamical Analyses Using Molecular Dynamics, Diffusion, temperature effects, and phase behavior
Week - 13 Determination of Mechanical Properties Using Molecular Dynamics, Tensile, compression, and deformation simulations
Week - 14 Current Applications and Project Presentations, Examples of multiscale modelling in nanomaterials and student presentations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Report Preparation and/or Presentation
  • Competences
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Problem solving
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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