Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
404004432018CHEMOMETRY IElective473
Level of Course Unit
First Cycle
Objectives of the Course
Main objective of this course is to give an introduction to applied chemometrics and basic knowledge on data analysis within analytical chemistry. There is an emphasis on use of existing data analysis software to solve real-life problems.
Name of Lecturer(s)
Assoc. Prof. Dr. Hasan ETRAŞ
Learning Outcomes
1Gain an ability to communicate general properties of statistical results
2Gain an ability to evaluate statistical data.
3Be able to read scientific literature searching and interpret the knowledge on chemometrics
4Gain an ability to design an experiment for optimization studies
5Be able to follow up recent data
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
The course gives an introduction to theoretical chemometric methods. The course focus on error types, statistical evaluation of the data and how to perform basic experimental design and analysis of variance.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to the chemometrics, significant numbers, units and statistical parameters
2Types of error, accuracy, precision, Gaussian distirbution of results, partial validation
3Null Hypothesis, confidence interval, t test, F test
4Q test, Grubbs’test, measurement uncertainty
5Least square regression method, plotting a calibration curve
6Source of errors for a calibration curve
7External calibration, standard addition, internal standard
8Mid-term Exam
9ANOVA analysis of variance
10Matrix operations
11Experimental design
12Partial and full factorial design
13Placket-Burrman and Taguchi Designs
14Central Composite Design
15Central Composite Design
16Final Exam
Recommended or Required Reading
J.C. Miller, J.N. Miller, “Statistics for Analytical Chemistry” Ellis Horwood PTR Prentice Hall, 1993 K.R. Beebe, R.J. Pell, M.B. Seasholtz, “Chemometrics : A Practical Guide”. J. Wiley and Sons, 1998
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Individual Study for Homework Problems4416
Individual Study for Mid term Examination11515
Individual Study for Final Examination12525
TOTAL WORKLOAD (hours)88
Contribution of Learning Outcomes to Programme Outcomes
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LO15    55               
LO253   45               
LO345    5               
LO444   45               
LO5      5     5         
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr