Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9105045412009Statistics and Chemometrics for Radioanalytical ChemistryElective118
Level of Course Unit
Second Cycle
Objectives of the Course
The objective of this course is to supply the students to learn the basic statistical concepts, to conceive of the importance and different types of chemometric methods in radioanalytical chemistry, to interpret the data, and to design experimental radio analytical essay.
Name of Lecturer(s)
Prof. Dr. Mahmoud A. A. Aslani
Learning Outcomes
1Be able to use the statistic and chemometric rules in nuclear field.
2Be able to assemble the statistical hypothesis in the field of nuclear chemistry, nuclear.
3Be able to assemble the relationship between radyoanalytical chemistry and statistical tests.
4Be able to make experimental design for given the radiochemical processes.
5Be able to define the chemometric tools.
6Be able to evaluate statistically the results of radioanalytical analysis data.
7Be able to form the appropriate equations for obtained radiometric data.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
The quantitative analysis errors. Systematic errors. Experimental design and programming. Statistical analysis of repeating data. Significant levels. The quality of analytical measurements. Experimental design and optimization. Multivariate analysis.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Errors in quantitative analysis, random and systematic errors. Mean and Standard deviation. The distribution of repeated measurement. Normal distribution and log-normal distribution.
2Sampling. Confidence limits of the mean for large samples. Confidence limits of the mean for small samples. Assisted solve example
3Significance tests. t-test, paired test. One-sided and two-sided tests. F-test for the comparison of standard deviations. Outliers. Analysis of variance (ANOVA). Assisted solve example
4Fundamentals of experimental design. Randomization and blocking, Latin squares experimental design.Assisted solve example
5Types of factorial design. Factorial experimental design at two level.Discussion on the semester home work
6Three-level and mixed-level Factorial and Fractional designs. Assisted solve example
7Estimation of factor effects, basic factors. Interaction between factors.Assisted solve example
8Middle term Exam
9Response surface methods. First order model for single and multi factors. Second order model for single and multi factors. Assisted solve example
10Determination and correlation of coefficients. Variance analysis of estimated factors. Assisted solve example
11Coding of factor levels. Two and multi factors case. Discussion on the semester home work
12Second order designs. Central composite experimental designs.Assisted solve example
13OptimizationAssisted solve example
14Presentation of semester homeworkPresentation of semester homework
15Presentation of semester homeworkPresentation of semester homework
16Final Exam
Recommended or Required Reading
Textbook/Recommended Reading : 1. Skoog, D. A. and West, D. M., “Fundamentals of Analytical Chemistry, 4th Ed. Holt Saunders, New York, 1982. 2. Orvis, W. J.,“Excel for Scientist and Engineers”. 2nd Edn. Sybex, Alameda, California, 1996. 3. Morgan, E., “Chemometrics: Experimental Design”, John Wiley and Sons, U.K, 1997. 4. Otto, M., “Chemometrics: Statistics and Computer Application in Analytical Chemistry”, Wiley-Vch, GERMANY, 1999. 5. İkiz, F., Püskülcü, H., Eren, Ş. İstatistiğe Giriş, Barış Yayınları, fakülteler kitabevi, İzmir, 2000. TOOLS USED IN COURSE: The softwares related to chemometric and experimental design.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Tutorial14114
Report Preparation12525
Report Presentation111
Criticising Paper51575
Individual Study for Mid term Examination14040
Individual Study for Final Examination14040
TOTAL WORKLOAD (hours)227
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
LO1    5545  5
LO2    5 544  
LO3  5 55 45 5
LO4  45555   5
LO5  555455555
LO6  555555455
LO7     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