PřF:Bi2021 Inf. technology in cell biol. - Course Information
Bi2021 Information technology in cell biology
Faculty of ScienceSpring 2023
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Jan Škoda, Ph.D. (seminar tutor)
doc. RNDr. Jakub Neradil, Ph.D. (seminar tutor)
RNDr. Petr Chlapek, DiS., Ph.D. (seminar tutor) - Guaranteed by
- RNDr. Jan Škoda, Ph.D.
Department of Experimental Biology – Biology Section – Faculty of Science
Contact Person: RNDr. Jan Škoda, Ph.D.
Supplier department: Department of Experimental Biology – Biology Section – Faculty of Science - Timetable
- Wed 8:00–9:50 online
- Prerequisites (in Czech)
- Bi1700 Cell Biology
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Cell Biology (programme PřF, B-EMB)
- Course objectives
- This course is aimed at introduction of scientific methodology in cell biology to students (software academic resources, statistical tools, image processing tools, software for presentations, posters and theses)
- Learning outcomes
- After completion of this course, the students will be able:
- to work with literature databases and bibliographical tools;
- to perform graphical and statistical processing of their own research data;
- to prepare and format a presentation, a poster and a thesis - Syllabus
- 1. Software resources at MU: University licenses and their usage, where to find them and how to work with them
- 2. Scholarly sources: Using academic databases (Web of Science, PubMed, Scopus)
- 3. Working with academic literature: Bibliographic software (Endnote, Reference Manager, Zotero, Mendeley)
- 4. MS Excel and its usage for research data: Processing and presenting data in tables and graphs; data normalization, regression curves
- 5. Statistical analysis of research data: Essential statistical functions in MS Excel, other available software (Statistica, SPSS, GraphPad)
- 6. Image data processing: Choosing suitable software – MS Power Point, Corel Draw, Photoshop, Adobe Illustrator, ImageJ; processing of micrographs, graphs, and other graphics; graphic file formats and differences among them
- 7. Creating a research poster: Choosing suitable software – MS Power Point, Corel Draw, Photoshop, Adobe Illustrator; basic layout of a research poster, choosing appropriate graphic style, technical requirements, preparing a poster for printing
- 8. Creating a presentation: Choosing suitable software – MS Power Point, Prezi; basic structure of a presentation according to its purpose, choosing appropriate graphic style, appropriate scope and technical requirements
- 9. Writing a qualification thesis: Choosing suitable software – MS Word; basic structure of a qualification thesis and word processing, creating automatic table of contents, header and footer, choosing appropriate graphic style, essential typography rules, inserting illustrations and graphs, managing references, converting the document into a PDF file
- 10. Scientific community online: Social networks for scientists (Research Gate, Mendeley, Loop), author-level metrics (WOS, Scopus, Research Gate, Google Scholar), researcher identifiers (Researcher ID, ORCID)
- Literature
- online zdroje a softwarové zdroje dle pokynů vyučujících
- Teaching methods
- online presentations and e-learning in the form of interactive syllabus, individual projects, homework
- Assessment methods
- timely completion of weekly assignments on individual topics
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2023, recent)
- Permalink: https://is.muni.cz/course/sci/spring2023/Bi2021