Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9105046382010  Optimization of Radiochemistry Process  Elective  1  2  8 

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 
1  Be able to use the statistic and chemometric rules in nuclear field.  2  Be 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.  4  Be able to make experimental design for given the radiochemical processes.  5  Be able to evaluate statistically the results of radioanalytical analysis data.  6  Be able to form the appropriate equations for obtained radiometric data.  7  Be able to define the chemometric tools. 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 
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 

1  Defination of chemometrics. Classification of chemometrics methods. The need to apply chemometric methods.    2  Algorithm for matematical terms.  Assisted solve example   3  Statistics of repeatability measurements. Significance statistic tests. tstudent test. Paired test. Onesided and twosided tests.  Assisted solve example   4  Ftest for the comparison of standart deviations. Outliers.  Assisted solve example   5  Analysis of variance (ANOA).  Discussion on the semester home work   6  Factorial design. Basic definitions and principels.
The 2K factorial design. The addition of center points to the 2K design.
 Assisted solve example   7  The 3K and mixed level factorial and fractional factorial design.  Assisted solve example   8  Regression modelings. Estimation of the parameters. Interaction between parameters.  Assisted solve example   9  Middle term Exam    10  Optimization by response surface methods.  Assisted solve example   11  Other approaches to process optimization.  Discussion on the semester home work   12  Determination and correlation of coefficients. Variance analysis of estimated parameters.  Assisted solve example   13  Calibration.  Assisted solve example   14  Presentation of semester homework  Presentation of semester homework   15  Presentation of semester homework  Presentation of semester homework   16  Final 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”, WileyVch, 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   Language of Instruction  Turkish  Work Placement(s)  None 

Workload Calculation 