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
  • Advanced Functional Materials
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

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 DOKTOR RAMİS MUSTAFA ÖKSÜZOĞLU
Mode of Delivery face to face
Prerequisites Having taken courses and possessing basic knowledge on the electrical, optical, magnetic, thermal, and mechanical properties of materials.
Courses Recomended Lectures “Solid State Physics” or “Electrical Properties of Materials” and "Physical Properties of Materials"
Required or Recommended Resources “Nanotechnology: Principles and Practices” 3th Edition, by Sulabha K. Kulkarni, Springer, 2015. \"Introduction to Solid State Physics\", by Charles Kittel, John Wiley & Sons, Inc., Last Edition.-
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 30
Project 1 30
Final Exam 1 40
Toplam (%) 100
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