200212 SE Theorie und Empirie wissenschaftlichen Arbeitens (Geist und Gehirn) 1 (2025W)
Prüfungsimmanente Lehrveranstaltung
Labels
Achtung: TEWAs im Schwerpunkt Geist und Gehirn sind nicht aufbauend.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 01.09.2025 09:00 bis Do 25.09.2025 09:00
- Abmeldung bis Mi 01.10.2025 09:00
Details
max. 20 Teilnehmer*innen
Sprache: Deutsch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Mittwoch 08.10. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 15.10. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 22.10. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 29.10. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 05.11. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 12.11. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 19.11. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 26.11. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- N Mittwoch 03.12. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 10.12. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 17.12. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 07.01. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 14.01. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 21.01. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
- Mittwoch 28.01. 08:00 - 11:15 Seminarraum 4, Währinger Straße 29 1.UG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Mindestanforderungen und Beurteilungsmaßstab
Grading:
Participation: 50%
Presentations: 30%
Take-Home: 20%Participation:
Particular emphasis is placed on participation and constructive involvement in discussions and group exercises—compulsory attendance (at least 75%).Presentation:
Presentation of a particular topic in class and the leading discussion on the topic (including questions).Take-Home:
Students will write a 4-page research proposal on a self-chosen topic related to "Stress and ..." (e.g., Stress and Coping Resources, Stress and Social Support, Stress and Nature Exposure). Formatting: Maximum 4 pages (12 Pt, Times New Roman, double-spaced, reasonable margins, APA style). The reference list is not counted toward the page limit. Figures/graphics are encouraged if helpful. Proposals will be peer-reviewed in class.
Participation: 50%
Presentations: 30%
Take-Home: 20%Participation:
Particular emphasis is placed on participation and constructive involvement in discussions and group exercises—compulsory attendance (at least 75%).Presentation:
Presentation of a particular topic in class and the leading discussion on the topic (including questions).Take-Home:
Students will write a 4-page research proposal on a self-chosen topic related to "Stress and ..." (e.g., Stress and Coping Resources, Stress and Social Support, Stress and Nature Exposure). Formatting: Maximum 4 pages (12 Pt, Times New Roman, double-spaced, reasonable margins, APA style). The reference list is not counted toward the page limit. Figures/graphics are encouraged if helpful. Proposals will be peer-reviewed in class.
Prüfungsstoff
Literatur
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 17.09.2025 12:07
First class will be on the 8th of October.Goal:
This course aims to equip students with the theoretical knowledge and practical skills needed to independently develop scientific work in psychology. Using stress research as a unifying theme, students will learn to: (1) Review and critically evaluate scientific literature, (2) Formulate research hypotheses, (3) Conduct quantitative data analysis using R (including data wrangling, statistical testing, and visualization), and (4) Design and write a scientific research proposal.By the end of the course, students will be prepared to plan, execute, analyze, and communicate psychological research, with a focus on stress-related topics, and will gain hands-on experience in data-scientific methods using R.Method:
The course combines interactive discussions, group exercises, and student-led lessons with lecturer inputs and hands-on data science labs in R.