Course code: 353H2 |
Course name: Statistics and Quality Control in Analytical Chemistry |
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Academic year: |
2024/2025. |
Attendance requirements: |
There are no requirements. |
ECTS: |
9 |
Study level: |
graduate academic studies, integrated basic and graduate academic studies |
Study programs: |
Chemical Education: 5. year, winter semester, elective (E5AP2) course Chemistry: 1. year, winter semester, elective (E53H2) course Environmental Chemistry: 1. year, winter semester, elective (E52S2) course |
Teacher: |
Filip Lj. Andriæ, Ph.D. |
Assistants: |
— |
Hours of instruction: |
Weekly: four hours of lectures + two hours of exercises + three hours of labwork (4+2+3) |
Goals: |
The course aims to acquaint the students with the practical application of statistics in analytical chemistry and prepare them for the future work in accredited analytical laboratories and laboratories for quality control. Considering immense importance of statistical techniques in fulfilling requirements of accreditation and certification of analytical laboratories, starting from the sampling strategies, analytical measurements, method comparisons, validation and verification, internal and external quality control and quality assurance, as well as good laboratory practice, the aim of the course is to present elements of statistics in a simple, clear and intuitive way to students, with emphasis on practical perspectives in different stages of the analytical process. |
Outcome: |
After completing the course, a student should understand, identify and correctly use selected statistical techniques and procedures in the various phases of chemical analysis, and use modern software packages for statistical processing of data and be familiar with contemporary quality control and quality assurance practice in analytical laboratories. |
Teaching methods: |
Lectures, theoretical exercises, labwork, colloquia, seminar papers. |
Extracurricular activities: |
— |
Coursebooks: |
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Additional material: |
— |
Course activities and grading method |
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Lectures: |
10 points (4 hours a week) Syllabus: 1. INTRODUCTION 2. ABOUT THE PROBABILITY THEORY 3. STATISTICS OF REPEATED MEASUREMENTS 4. ERRORS AND UNCERTAINTY OF ANALYTICAL MEASUREMENTS 5. HYPOTHESIS TESTING - PARAMETRIC METHODS - PART I 6. HYPOTHESIS TESTING - PARAMETRIC METHODS - PART II (ANALYSIS OF VARIANCE) 7. HYPOTHESIS TESTING - NON-PARAMETRIC METHODS 8. CALIBRATION - PART I (CORRELATION AND LINEAR REGRESSION) 9. CALIBRATION - PART II (NON-LINEAR REGRESSION) 10. QUALITY CONTROL AND GOOD LABORATORY PRACTICE |
Exercises: |
10 points (2 hours a week) Syllabus:
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Labwork: |
10 points (3 hours a week) Syllabus: Laboratory and theoretical practice follow the plan and content of the lectures so that a student, through practical work, acquires necessary skills for statistical data processing in analytical chemistry. |
Semester papers: |
20 points |
Written exam: |
50 points |