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
  • Graduate School of Sciences
  • Department of Advanced Technologies
  • Nanotecnology PhD Program (İngilizce)
  • Course Structure Diagram with Credits
  • Advanced Functional Materials
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İTN625 - Advanced Functional Materials
Course Type Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR RAMİS MUSTAFA ÖKSÜZOĞLU
Mode of Delivery face to face
Prerequisites -
Courses Recomended Lectures “Solid State Physics” or “Electrical Properties of Materials”
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 Advanced Functions in Nanomagnetic Materials: Magneto-crystalline Anisotropy; RKKY and Exchange Interactions; Exchange Bias
Week - 2 Spin-dependent- and Magnetoresistance Effects
Week - 3 Permanent Magnets: Composites of ceramic, metallic and polymeric materials in nanoscale
Week - 4 Sensors and Smart Material’s Applications: Position and Memory Effects in Artificial Intelligence
Week - 5 Take-home Exam (small coding project)
Week - 6 Advanced Functions in nanoscale Metal Oxide Semiconductor and Dielectric Materials: Mott Transition, Metal-Semiconductor- and Metal-Insulator Transitions
Week - 7 Phase Transition Materials in nanoscale
Week - 8 Opto-Electric, Thermo-Electric and Thermo-Mechanical Effects
Week - 9 Micro-Electro-Mechanical Systems: IR, Microwave and THz Sensors
Week - 10 Mid-term Exam (classical)
Week - 11 Shape Memory Effect in nanoscale and Applications
Week - 12 Advanced Functional Materials for Solar Cells
Week - 13 Advanced Functional Materials for Fuel Cells
Week - 14 inal Exam (oral presentation)

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Civic awareness
  • Work in teams
  • Problem solving
  • Organization and planning
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 35
Homework 1 30
Final Exam 1 35
Toplam (%) 100
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