Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9105046382010Optimization of Radiochemistry ProcessElective128
Level of Course Unit
Third Cycle
Objectives of the Course
The objective of this course is to supply the students to enable using the chemometric methods to solve a problem and translating process data into information rapidly and confidently, to optimize radiochemical process using response surface methods and other approaches, to conceive of using different statistical methods, 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 optimization of the analysis in the field of nuclear chemistry, nuclear technology
3 Be 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 evaluate statistically the results of radioanalytical analysis data.
6Be able to form the appropriate equations for obtained radiometric data.
7Be able to define the chemometric tools.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Basic statistics
Recommended Optional Programme Components
None
Course Contents
Classification of chemometrics methods. Experimental design and programming. Statistical analysis of repeating data. Significance statistic tests. Factorial design. Two, three and mixed level factorial design. Regression modeling. Experimental design and optimization. Calibration.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Defination of chemometrics. Classification of chemometrics methods. The need to apply chemometric methods.
2Algorithm for matematical terms.Assisted solve example
3Statistics of repeatability measurements. Significance statistic tests. t-student test. Paired test. One-sided and two-sided tests.Assisted solve example
4F-test for the comparison of standart deviations. Outliers. Assisted solve example
5Analysis of variance (ANOA).Discussion on the semester home work
6Factorial design. Basic definitions and principels. The 2K factorial design. The addition of center points to the 2K design. Assisted solve example
7The 3K and mixed level factorial and fractional factorial design.Assisted solve example
8Regression modelings. Estimation of the parameters. Interaction between parameters. Assisted solve example
9Middle term Exam
10Optimization by response surface methods.Assisted solve example
11Other approaches to process optimization.Discussion on the semester home work
12Determination and correlation of coefficients. Variance analysis of estimated parameters.Assisted solve example
13Calibration.Assisted solve example
14Presentation of semester homeworkPresentation of semester homework
15Presentation of semester homeworkPresentation of semester homework
16Final Exam
Recommended or Required 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 & 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 Lectures14342
Tutorial12224
Discussion224
Report Preparation31133
Report Presentation326
Criticising Paper31545
Individual Study for Homework Problems31133
Individual Study for Mid term Examination12121
Individual Study for Final Examination12525
TOTAL WORKLOAD (hours)237
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 54544  
LO3  4 5  45 5
LO4    555    
LO5  555555555
LO6  555555555
LO7  555555455
* 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