| Course code: 311A2 | Course name: Data Analysis | 
|---|---|
| Academic year: | 2024/2025. | 
| 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. | 
| 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: | 
 | 
| Additional material: | |
| Course activities and grading method | |
| Lectures: | 10 points (3 hours a week) | 
| Colloquia: | 30 points | 
| Written exam: | 60 points | 
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