Course code:
311A2
Course name:
Data Analysis

Academic year:

2023/2024.

Attendance requirements:

There are no requirements.

ECTS:

5

Study level:

basic academic studies, integrated basic and graduate academic studies

Study programs:

Chemistry: 1. year, summer semester, elective (E11H2) course

Environmental Chemistry: 1. year, summer semester, elective (E11S2) course

Chemical Education: 1. year, summer semester, elective (E11P2) course

Teacher:

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

Assistants:

Hours of instruction:

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

Goals:

The goal of this course is to introduce students to the basic methods of statistical processing of measurement data in chemistry.

Outcome:

After successfully completing this course, a student should be able to: understand the sources of measurement uncertainty, correctly group, organize, and present measurement data in tabular and graphical form, compare results using basic parametric tests, use linear regression analysis.

Teaching methods:

Lectures, term papers.

Extracurricular activities:

Coursebooks:

  • Ivan Gutman: Obrada rezultata hemijskih merenja, PMF Kragujevac, 2000.
  • James N. Miller, Jane C. Miller: Statistics and Chemometrics for Analytical Chemistry, Pearson Education, Harlow, 2000.

Additional material:

http://www.chem.bg.ac.rs/~jvelicko/

  Course activities and grading method

Lectures:

10 points (3 hours a week)

Colloquia:

30 points

Written exam:

60 points