BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
GM215Heavy Metal Analysis in Environmental SamplesElective126
Level of Course Unit
Second Cycle
Objectives of the Course
Learning the heavy metal analysis in food and environmental samples
Name of Lecturer(s)
Doç. Dr. Hüseyin SERENCAM
Learning Outcomes
11. Learning the general features of instruments
22. Method development
3
4
5
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Toxic metals, spectroscopic methods for heavy metals and trace elements, sample preparation and evaluation of analysis results.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Trace elementsLecture
2Analysis methods im trace elementsLecture
3Evaluation of analysis resultsLecture
4ChemometricsLecture
5Atomic absorption spectroscopyLecture
6Atomic emission spectroscopyLecture
7Inductively coupled plasma mass spectroscopy (ICP-MS)Lecture
8Inductively coupled plasma optical emission spectrometry (ICP-OES)Lecture
9Sample analysisLecture
10Sample analysisLecture
11Sample analysisLecture
12Sample analysisLecture
13Sample analysisLecture
14Sample analysisLecture
15
16
Recommended or Required Reading
Enstrümental analiz, Prof. Dr. Turgut GÜNDÜZ
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
SUM0
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study14456
Individual Study for Mid term Examination11818
Individual Study for Final Examination11919
Reading14342
TOTAL WORKLOAD (hours)180
Contribution of Learning Outcomes to Programme Outcomes
PO
1		PO
2		PO
3		PO
4
LO13   
LO24   
LO3    
LO4    
LO5    
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High