Course code:
311A1		 Course name:
Processing of Measurement Data

Academic year:

2019/2020.

Attendance requirements:

301A1 / 301B1 / 301H1

ECTS:

4

Study level:

basic academic studies, integrated basic and graduate academic studies

Study programs:

Chemistry: 2. year, summer semester, elective (E12H1) course

Biochemistry: 2. year, summer semester, elective (E12B1) course

Environmental Chemistry: 4. year, summer semester, elective (E13S1) course

Chemical Education: 2. year, summer semester, elective (E12P1) course

Teacher:

Jelena Đ. Trifković, Ph.D.
full professor, Faculty of Chemistry, Studentski trg 12-16, Beograd

Assistants:

—

Hours of instruction:

Weekly: three hours of lectures (3+0+0)

Goals:

The aim of the course is to introduce the student to the basic elements of statistics in chemistry in a clear, understandable and practical way. As statistical methods make it possible to use data to understand the essence of chemical problems, the emphasis of the course is on understanding and intuitively presenting statistical concepts rather than rigorously explaining them mathematically. Particular attention is given to defining and solving specific examples and problems that arise in practice. The aim of the course is to acquire the necessary knowledge of statistics that enable students to properly understand and display the results of measurements in other courses that they will follow during their studies.

Outcome:

The outcome of this course is to enable the student, through individual work on a computer, to use modern software packages to process the results of measurements in chemistry, correctly display, understand and properly select statistical tests, draw conclusions and interpret the results of statistical data processing.

Teaching methods:

Lectures, colloquium.

Extracurricular activities:

—

Coursebooks:

Main coursebooks:

1. James N. Miller, Jane C. Miller, Statistics and Chemometrics for Analytical Chemistry 6thed., Pearson Education Ltd., Harlow, 2010.

 

2. William P. Gardiner, Statistical Analysis Methods for Chemists: A Software Based Approach, Royal Society of Chemistry Publishing, Cambridge, UK, 1997

Supplementary coursebooks:

Lecture material with theoretical background and practical examples.

Additional material:

—

  Course activities and grading method

Lectures:

10 points (3 hours a week)

Syllabus:

Introduction. Measurement. Errors. Statistics. The sample, the population. Error estimation and the presentation of measurement data. Data grouping. Tabulation. Graphical presentation of data. Probability, the probability density, the distribution function and the density of distribution. The measures of central tendency and data dispersion. The Gaussian distribution. The confidence interval. Statistical tests. Regression and correlation. Linear correlation. The correlation coefficient. The method of least squares. The detection limit.

Colloquia:

20 points

Written exam:

70 points