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
  • Master of Science in Chemistry Via Distance Education (Non-Thesis)
  • Course Structure Diagram with Credits
  • Sensor Technology
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title KİM586 - Sensor Technology
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 6.0
Course Instructor(s) PROFESÖR SİBEL EMİR DİLTEMİZ
Mode of Delivery Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List 1. CHEMICAL SENSORS AND BIOSENSORSBrian R. Eggins University of Ulster at Jordanstown Northern Ireland, UK2. Chemical SensorsPeter Gründler
Assessment methods and criteria 1 midterm, 1 final exam
Work Placement Not Applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Sensor Technology; Introduction to Chemical Sensors;
Week - 2 Optic Methods and Sensors: Sensor techniques in optics,
Week - 3 evanescent waves, spectroscopy, surface plasmon resonance, Fiber Optics;
Week - 4 Mass Sensitive Sensors: piezoelectric sensors,
Week - 5 Surface Acoustic Waves;
Week - 6 Quartz Crystal Sensors
Week - 7 Biosensors: Biomaterials for biosensors,
Week - 8 enzymes, enzyme structure, antibodies, antibody structure,
Week - 9 production of antibodies, detection of antibody- antigen binding,
Week - 10 immobilization techniques of biomolecules,
Week - 11 Preparation Techniques of Chemical Sensors,
Week - 12 Evaluation of Sensor Signal
Week - 13 General Analytic Applications
Week - 14 General Analytic Applications

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Questoning
  • Effective use of a foreign language

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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