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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
  • Graduate School of Sciences
  • Department of Advanced Technologies
  • Master of Science (MS) Degree
  • Master of Science in Nanotechnology-(İngilizce)
  • Course Structure Diagram with Credits
  • Computational Approaches in Nanomaterials
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İTN531 - Computational Approaches in Nanomaterials
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 There is no recommended optional program component for this course.
Recommended Reading List -
Assessment methods and criteria Two midterm exams, one final exam (1 project, 1 classical, 1 presentation)
Work Placement Not Applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Modelling Materials
Week - 2 Scale and dimensionality of nanomaterials: 0D nanoclusters, 1D nanowires, 2D thin films, 3D nanosystems
Week - 3 Simulation methods for different time and length scales
Week - 4 Useful Concepts in Molecular Modelling: visualization, scripts and automation of tasks
Week - 5 Take-home Exam
Week - 6 Empirical Force Field Models: Molecular Mechanics
Week - 7 ab initio Methods, Density Functional Theory and Solid-state Quantum Mechanics
Week - 8 Minimisation and Related Methods for Exploring the Energy Surface: Global and Local Optimisations
Week - 9 Global Optimisation methods: Genetic algorithm, basin hopping method, simulated annealing
Week - 10 Mid-term Exam
Week - 11 Monte Carlo simulation methods
Week - 12 Molecular Dynamics simulation methods
Week - 13 Overview of application areas of modelling materials in nanotechnology
Week - 14 Final Exam (oral presentation)

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Questoning
  • Problem solving
  • Applying theoretical knowledge into practice
  • To work autonomously
  • Organization and planning
  • Elementary computing skills

Assessment Methods

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