Experimental Data Science

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2022-2023

Thematik

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 their publication. 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.

Vorlesungen

Praktika

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

Seminare

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

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

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

Skript

Empfohlene Literatur

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

Voraussetzung zum Absolvieren des Semesters

Maximum of 15 % absence allowed

Semesteranforderungen

Students have to pass 3 short seminar tests.
Students have to submit 5 assignments: literature summary, experimental design, questionnaire, data evaluation, scientific abstract

Möglichkeiten zur Nachholung der Fehlzeiten

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

Prüfungsfragen

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.

Prüfer

• Dr. Farkas Ágnes

Praktika, Seminarleiter/innen

• Dr. Farkas Ágnes