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 Chemistry
  • Doctorate Degree (Ph.D)
  • Program in Biochemistry
  • Course Structure Diagram with Credits
  • X-Ray Photoelectron Spectroscopy and its Applications
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title KİM6510 - X-Ray Photoelectron Spectroscopy and its Applications
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR ÖZER GÖK
Mode of Delivery Face to face
Prerequisites There is no prerequisite for this course.
Courses Recomended -
Required or Recommended Resources 1-"Practical Surface Analysis by Auger and X-ray Photoelectron Spectroscopy" D. Briggs & M.P. Seah (Wiley).2-"Surface Analysis by XPS and AES" John F. Watts & John Wolstenholme (Wiley).3- "Handbook of X-ray Photoelectron Spectroscopy" J. Chastain & R.C. King Jr. (Physical Electronics)
Recommended Reading List -
Assessment methods and criteria 1 Homework, 1 Application/Practical Assignment, 1 Final Exam
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Overview of Surface and Interface Analysis
Week - 2 Some Basic Concepts; Components of Electron Spectrometer
Week - 3 Depth Profile
Week - 4 Heterogeneous Catalysis Applications of Electron Spectroscopy
Week - 5 Metallurgical Applications of Electron Spectroscopy
Week - 6 Applications of Electron Spectroscopy to Polymer Technologies
Week - 7 Applications of Electron Spectroscopy to Corrosion Science
Week - 8 Biotechnological Applications of Electron Spectroscopy
Week - 9 Comparison of XPS and AES techniques with other analytical techniques
Week - 10 Sample Analysis Application
Week - 11 EN: Processing of Data
Week - 12 Interpretation of Spectra: Qualitative and Quantitative Interpretation.
Week - 13 Interpretation of Spectra: Qualitative and Quantitative Interpretation.
Week - 14 Interpretation of Spectra: Qualitative and Quantitative Interpretation.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Demonstration
  • Problem Solving
  • Competences
  • Questoning
  • Follow ethical and moral rules
  • Work in teams
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

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