Bi2021 Information technology in cell biology

Faculty of Science
Spring 2024
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught online.
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
Mon 19. 2. to Sun 26. 5. 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
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.
The course is also listed under the following terms Spring 2021, Spring 2022, Spring 2023, Spring 2025.

Bi2021 Information technology in cell biology

Faculty of Science
Spring 2025
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught online.
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
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
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
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2021, Spring 2022, Spring 2023, Spring 2024.

Bi2021 Information technology in cell biology

Faculty of Science
Spring 2023
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught online.
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
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.
The course is also listed under the following terms Spring 2021, Spring 2022, Spring 2024, Spring 2025.

Bi2021 Information technology in cell biology

Faculty of Science
Spring 2022
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
Tue 9:00–10:50 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
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
presentations, interactive syllabus, class discussions, individual projects, homework
Assessment methods
regular and active participation in seminars, completion of component tasks
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2021, Spring 2023, Spring 2024, Spring 2025.

Bi2021 Informační technologie v buněčné biologii

Faculty of Science
Spring 2021
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
Mon 1. 3. to Fri 14. 5. Wed 9:00–10:50 online_B2
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
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
presentations, interactive syllabus, class discussions, individual projects, homework
Assessment methods
regular and active participation in seminars, completion of component tasks
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
The course is also listed under the following terms Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (recent)