Statistical Methods In Chemistry
Chemistry
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistical Methods In Chemistry | KIM522 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Ümüt AY
Prof. Dr. Deniz BİNGÖL
Associate Prof. Dr. Seda KARAYÜNLÜ BOZBAŞ
Learning Outcomes of the Course Unit
1) Improves knowledge about trace analysis
2) Examines the importance and evaluation of enrichment methods
3) Improves applications of enrichment methods
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||
| 1 | 2 | 3 | 4 | 5 | 6 | ||
| Learning Outcomes | |||||||
| 1 | High | Middle | High | Middle | High | Middle | |
| 2 | High | High | Middle | High | Middle | High | |
| 3 | High | High | High | High | High | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Analytical Chemistry
Course Contents
Trace analysis and preconcentration methods, The role of preconcentration methods, The criteria used for evaluation of preconcentration methods, Liquid-phase extraction, Solid-phase extraction, Ion-exchange, Electrodeposition, The application techniques of preconcentration methods.
Weekly Schedule
1) Importance of statistics in chemistry2) Statistical analysis of experimental data
3) Statistical methods for normal distributions
4) Method validation
5) Evaluation of measurements and results
6) The analysis of variance
7) One-way and two-way analysis of variance
8) Midterm exam
9) Calibration methods: regression and correlation coefficient
10) Calibration graphs in instrumental analysis
11) Standard addition methods
12) Experimental design and optimization
13) Latin squares experiment
14) The quality of analytical measurements
15) Application of analytical data.
16) Final exam
Recommended or Required Reading
1- J.N. Miller, J.C. Miller, “Statistics and Chemometrics for Analytical Chemistry”, 05 Edition, Ellis Horwood, 1993.
2- J.N. Miller, J.C. Miller, “Statistics and Chemometrics for Analytical Chemistry”, 05 Edition, Ellis Horwood, 1993.
3- D.Brynn Hibbert, J.Justin Gooding, “Data Analysis for Chemistry”, An Introductory Guide for Students and Laboratory Scientists, Oxford University Pres, 2006.
4- D.Brynn Hibbert, J.Justin Gooding, “Data Analysis for Chemistry”, An Introductory Guide for Students and Laboratory Scientists, Oxford University Pres, 2006.
5- D. Harvet, “Modern Analytical Chemistry”, DePauw University, 2000.
6- http://www.scribd.com/doc/21202653
7- http://www.scribd.com/doc/21202653
8- http://www.scribd.com/doc/21202653
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20- /http://www.scribd.com/doc/21202653
21- /http://www.scribd.com/doc/21202653
22- /http://www.scribd.com/doc/21202653
23- /http://www.scribd.com/doc/21202653
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Brain Storming
7) Lab / Workshop
8) Self Study
9) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required