Tantargy

Data

Official data in SubjectManager for the following academic year: 2024-2025

Topic

The course introduces students into the world of experimental data science, enhancing their skills to express their opinion in a credible and autonomous way, thus helping their research activity. Students get insight into the process of scientific research, searching accessible resources, creating research plans, evaluating experimental data and publishing their results. We will also deal with methods of data collection, methods of literature search, critical evaluation of information, ethical issues of scientific research. Students will familiarize with types of scientific writing, rules and standards of scientific publication. We will also deal with the special regulations of preparing a diploma thesis. We put emphasis on providing the opportunity for students to practice and gain expertise during seminar sessions.

Lectures

Practices

• 1. Literature search in the field of the student’s own research. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 2. Using literature sources in student’ own scientific texts. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 3. Preparing a research plan based on the student’s own research objectives. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 4. Preparing a questionnaire. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 5. Processing and analysing data from the student’s research project. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 6. Evaluation of data from the student’s research project. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 7. Transforming data sets into Results. Use of tables and graphs. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 8. Putting results into broader scientific context. Writing Discussion. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 9. Practice of scientific communication I. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 10. Practice of scientific communication II. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 11. Practice of scientific communication III. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 12. Practice of scientific communication IV. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 13. Practice of writing an application for a scholarship - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 14. Practice of writing an application for a research project - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes

Seminars

• 1. Concept, process and strategies of scientific research. Organising research projects. Literature search. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 2. Role of literature sources in research planning. Writing a research plan. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 3. Methods of data collection. Designing experiments. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 4. Questionnaires. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 5. Data processing, data analysis. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 6. Evaluation of data. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 7. The role of informatics in scientific research I. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 8. The role of informatics in scientific research II. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 9. Scientific communication. Types of scientific works. Metrics of scientific achievement. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 10. Rules and requirements in scientific communication. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 11. Ethical questions of scientific research. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 12. Animal studies. Clinical studies. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 13. Writing applications for scholarships and research grants. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes
• 14. Scientific co-operations. National and international scene and institutions of science. - Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes, Farkas Ágnes

Reading material

Obligatory literature

Literature developed by the Department

Study materials connected to each topic will be uploaded in MS Teams.

Notes

Recommended literature

1. Turabian K. L.: A Manual for Writers of Research Papers, Theses, and Dissertations. Chica Style for Students & Researchers. 8th edition. The University of Chicago Press. ISBN: 022643057X , 2010

2. Higgins J., Thomas J. (eds): Cochrane Handbook for Systematic Reviews of Interventions. Version 6.2., 2021 ISBN: 1119536626

3. Kirkup, Les: Experimental Methods for Science and Engineering Students: An Introduction to the Analysis and Presentation of Data, Cambridge University Press (2019), ISBN-10: 1108418465, ISBN-13: 978-1108418461

Conditions for acceptance of the semester

Students are expected to actively participate in at least 85% of classes. They have to complete 2 written tests and 5 home assignments.

Mid-term exams

Students have to pass 2 short seminar tests.

Students have to submit 5 assignments: literature summary, experimental design, questionnaire, data evaluation, scientific abstract

Making up for missed classes

Students who miss a class, should study the uploaded study materials and prepare each assignment.

Exam topics/questions

1. Concept, process and strategies of scientific research. Organising research projects.

2. Literature search.

3. Role of literature sources in research planning. Writing a research plan.

4. Methods of data collection.

5. Designing experiments.

6. Questionnaires.

7. Data processing, data analysis.

8. Evaluation of data.

9. The role of informatics in scientific research.

10. Scientific communication. Types of scientific works. Metrics of scientific achievement.

11. Rules and requirements in scientific communication.

12. Ethical questions of scientific research.

13. Animal studies. Clinical studies.

14. Writing applications for scholarships and research grants.

15. Scientific co-operations. Scene and institutions of science in Hungary.

Examiners

• Farkas Ágnes

Instructor / tutor of practices and seminars

• Farkas Ágnes