SylabUZ
Course name | Computer data acquisition and processing |
Course ID | 13.2-WF-FizP-CDEP- 19 |
Faculty | Faculty of Physics and Astronomy |
Field of study | Physics |
Education profile | academic |
Level of studies | First-cycle studies leading to Bachelor's degree |
Beginning semester | winter term 2022/2023 |
Semester | 2 |
ECTS credits to win | 2 |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
|
The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Laboratory | 30 | 2 | - | - | Credit with grade |
To teach the students the use of computer based tools necessary for further study.
The knowledge of the Windows or Linux operating system, the knowledge of the basics of LaTeX, the ability to program in any computer language.
- The Matplotlib graphical library, basic types of graphs, types of graphical objects and their usage.
- Basic graphical formats and electronic documents formats.
- Embedding graphics in dvi, ps and pdf documents.
- Using numerical libraries for basic scientific computing problems.
- Preparing reports on the results of calculations and scientific experiments.
Computer laboratory
Outcome description | Outcome symbols | Methods of verification | The class form |
Passing the final test.
[1] Mark Lutz, Python - Wprowadzenie, Helion 2007.
[2] Antoni Diller, LaTeX. Wiersz po wierszu, Helion 2004.
[1] Beginning Gimp, From Novice to Professional, Akkana Peck, Apress; 2 edition (December 17, 2008).
Modified by dr Marcin Kośmider (last modification: 04-04-2022 20:44)