Syllabus of the lecture course Practical basics of scientific work (B130P16)
The course provides information on the fundamentals of scientific practice in modern experimental biology. It is designed for students who intend to study specialisations in experimental biology. The basics of research practice, planning of experiments, methods of their evaluation, principles of laboratory work, guidelines for writing protocols and ethical rules will be described in detail. Participants will be informed about useful techniques for searching scientific databases and handling these data, as well as preparing scientific contributions (posters and presentations, scientific papers), including bachelor and master theses.
Guaranteed by: 130
State: taught
Winter term: 0/2 C (hours/week)
Credits: 2
Valid from: from 2006
Teachers: Jan Petrášek, PhD; Katarina Kurtović, MSc
Requirements for getting credits:
1) Active participation in lectures
2) Completion of tests on searching, processing and presentation of
bibliographic, scientometric and sequence data
3) Preparation of the scientific manuscript
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Winter term 2024/25:
Thursday, 16:30, Viničná 5, 2nd floor, seminar room of the Department of Experimental Plant Biology (room "KFR").
For this semester, we have now roughly half bachelor and half master students. Besides our home faculty students we have also Erasmus students from Poland, Spain, France and UK.
Lectures of winter term 2024/25:
1 Basics of research work
3.10. 1.1 The character of scientific work in the
experimental biology
10.10. 1.2 Observation and experiment as the two main
activities of scientists
17.10. 1.3 Scientific institutions, organizations, conferences,
and social networks
Scientific contributions at the seminars and conferences, rules for effective abstract writing
24.10. 1.4 Ethical
rules for scientific work, including bad habits in scientific writing
1.5 Funding scientific research
1.6 Writing scientific projects and grant proposals
2 Experimental data handling
2.2 Data explorers, correct data handling and saving
2.3 Spreadsheets, statistical software, graph editors
7.11.
2.4 Processing of structural and sequence data
2.5 Image analysis, graphical software, presentation software
3.2 Internet sources of information
21.11.
3.3 How to search for bibliographic records and
full text articles -
good and bad habits -
Homework 1
3.3.1 Bibliographic databases accessible at our faculty
3.3.2 Full
text databases accessible at our faculty
3.3.3 Creating your own database of
references
28.11. 3.4 Scientometry - a tool for the evaluation of quality and scientific
relevance of scientific work -
Homework 2
3.5 Peer review of scientific texts - step by step guide through the process
4 Artificial intelligence in experimental biology
5.12. 4.1 AI in the handling and processing of experimental data
4.2 AI in scientific writing
5 Online information databases in experimental biology
12.12. 5.1 Databases of sequences
5.2 Specialized sequence databases
6 Scientific writing
19.12. 6.1 Writing bachelor, master
and dissertation thesis
Our recording of the lecture somehow ended after 12 min, I learned that google meet does not allow longer recordings if there is just one participant, it ends it without warning, sorry for that. For the homework 3, everything is explained, in case you need some assistance, please let me know by email.
https://drive.google.com/file/d/1jFgu9_MJRyJONbRjS8OGDqh8LDSob3vX/view?usp=sharing
Link for uploading your homeworks
Link for the overview of submitted/uplaoded homeworks
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