Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
INTRODUCTION TO INSTRUMENTAL ANALYSIS ATO5602007 2 + 2 3.0 7.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals To classified of Instrumental analysis methods, To define of electromagnetic beam, Lambert-Beer's law, to explain of UV, AAs, IR and NMR spectroscopy.
Course Content It includes instrumental analysis techniques used in Forensic Chemistry and Toxicology Laboratory.
Learning Outcomes 1) Classifies instrumental analysis methods and compares them with each other.
2) Recognises the components of various devices and explains their properties.
3) Interprets the scheme and working principle of the instrumental device.
4) Selects methods for quantitative, qualitative and structural analyses.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to Spectroscopy: Electromagnetic spectrum and interaction of light and matter, beam properties, evaluation of analysis results, lower limit of detection. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
2. Week Introduction to Spectroscopy: Electromagnetic spectrum and interaction of light and matter, beam properties, evaluation of analysis results, lower limit of detection. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
3. Week Ultraviolet-Visible Field Spectroscopy: Fundamentals, Lambert Beer's law, beam sources, monochromators, filters, instrument structure, spectrophotometric titrations. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
4. Week IR Spectroscopy: Fundamentals, benefits, application areas, spectrum interpretation Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
5. Week NMR Spectroscopy: Fundamentals, active nuclei, chemical shift in 1H-NMR spectroscopy Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
6. Week NMR Spectroscopy: Spin-spin interaction in 1H-NMR spectroscopy, magnetic anisotropy, chemical shift in 13C-NMR spectroscopy. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
7. Week NMR Spectroscopy: Spectrum interpretation, prediction of molecular structure by IR and NMR. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
8. Week AAS: Fundamentals, instruments, atomisation methods, interferences, matrix effect and inhibitors. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
9. Week AAS: Fundamentals, instruments, atomisation methods, interferences, matrix effect and inhibitors. Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
10. Week Chromatography: Fundamentals, instruments Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
11. Week Chromatography: Fundamentals, instruments Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
12. Week Chromatography: Fundamentals, instruments Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
13. Week MS: Fundamentals of mass spectroscopy, ionisation methods EI, CI, FI, ESI, MALDI methods, MS detectors Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)
14. Week MS: Fundamentals of mass spectroscopy, ionisation methods EI, CI, FI, ESI, MALDI methods, MS detectors Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning 		Homework Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
David Harvey: "Modern Analytical Chemistry," McGraw-Hill, 2000.
Douglas A. Skoog, F. James Holler, Stanley R. Crouch: "Principles of Instrumental Analysis," Cengage Learning, 2017.
Enstrümantal Analiz İlkeleri; D.A. Skoog, F.J. Holler, T.A. Nieman, Çeviri Editörleri: E.Kılıç, F.Köseoğlu ve H. Yılmaz, Bilim Yayıncılık, 1999.
Erno Pungor: "A Practical Guide to Instrumental Analysis," CRC Press, 1995.
James W. Robinson, Eileen M. Skelly Frame, George M. Frame II: "Undergraduate Instrumental Analysis," CRC Press, 2004.
R. A. Meyers: "Encyclopedia of Analytical Chemistry: Applications, Theory and Instrumentation," Wiley, 2000.
Robert Kellner, Jean-Michel Mermet, Matthias Otto, Miguel Valcárcel, H. Michael Widmer: "Analytical Chemistry: A Modern Approach to Analytical Science," Wiley-VCH, 2004.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY455555
PY555555
PY655555
PY755555
PY855555
PY955555
PY1054444
PY1155555
PY1454444
PY1855555

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 14 4
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 14 2
Final Exam 1 2
Time to prepare for Final Exam 14 4
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload