
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9105045412009  Statistics and Chemometrics for Radioanalytical Chemistry  Elective  1  1  8 
 Level of Course Unit  Second Cycle  Language of Instruction  Turkish  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  1  Be able to use the statistic and chemometric rules in nuclear field.  2  Be able to assemble the statistical hypothesis in the field of nuclear chemistry, nuclear.  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 define the chemometric tools.  6  Be able to evaluate statistically the results of radioanalytical analysis data.  7  Be able to form the appropriate equations for obtained radiometric data. 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  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  
1  Errors in quantitative analysis, random and systematic errors. Mean and Standard deviation. The distribution of repeated measurement. Normal distribution and lognormal distribution.    2  Sampling. Confidence limits of the mean for large samples. Confidence limits of the mean for small samples.  Assisted solve example   3  Significance tests. ttest, paired test. Onesided and twosided tests. Ftest for the comparison of standard deviations. Outliers. Analysis of variance (ANOVA).  Assisted solve example   4  Fundamentals of experimental design. Randomization and blocking, Latin squares experimental design.  Assisted solve example   5  Types of factorial design. Factorial experimental design at two level.  Discussion on the semester home work   6  Threelevel and mixedlevel Factorial and Fractional designs.  Assisted solve example   7  Estimation of factor effects, basic factors. Interaction between factors.  Assisted solve example   8  Middle term Exam    9  Response surface methods. First order model for single and multi factors. Second order model for single and multi factors.  Assisted solve example   10  Determination and correlation of coefficients. Variance analysis of estimated factors.  Assisted solve example   11  Coding of factor levels. Two and multi factors case.  Discussion on the semester home work   12  Second order designs. Central composite experimental designs.  Assisted solve example   13  Optimization  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  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”, 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   Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  2  2  Final Examination  1  2  2  Attending Lectures  14  2  28  Tutorial  14  1  14  Report Preparation  1  25  25  Report Presentation  1  1  1  Criticising Paper  5  15  75  Individual Study for Mid term Examination  1  40  40  Individual Study for Final Examination  1  40  40  
Contribution of Learning Outcomes to Programme Outcomes  LO1      5  5  4  5    5  LO2      5   5  4  4    LO3    5   5  5   4  5   5  LO4    4  5  5  5  5     5  LO5    5  5  5  4  5  5  5  5  5  LO6    5  5  5  5  5  5  4  5  5  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 • email: intrec@mail.ege.edu.tr 
