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 |