180150 VO MEi:CogSci Cognitive Science Lecture Series (2022W)
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Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
max. 80 participants
Language: English
Examination dates
- Tuesday 31.01.2023 18:30 - 20:45 Digital
- Tuesday 07.03.2023 18:30 - 20:45 Digital
- Tuesday 18.04.2023 18:30 - 20:45 Digital
- Tuesday 27.06.2023 18:30 - 20:45 Digital
Lecturers
- Franz-Markus Peschl
- Ulrich Ansorge
- Alice Auersperg
- Thomas Bugnyar
- Marlene Forstinger
- Moritz Grosse-Wentrup
- Soheil Human
- Stefanie Höhl
- Tilmann Kluge
- Laura Koesten
- Katharina Korecky-Kröll
- Florian Kragulj
- Bernhard Laback
- Stela Manova
- Hannah Metzler
- Paolo Petta
- Luise Reitstätter
- Raphael Rosenberg
- Isabella Sarto-Jackson
- Rebecca Rosa Schmid
- Natalie Sebanz
- Ronald Sladky
- Jacqueline-Ann Stark
- Robert Trappl
- Christian Windischberger
- Lukas Zenk
Classes (iCal) - next class is marked with N
Programme of the MEi:CogSci Lecture Series 2022:
https://ssc-phil.univie.ac.at/studien/middle-european-interdisciplinary-masters-programme-in-cognitive-science-meicogsci/meicogsci-lecture-series-2022/
- Tuesday 04.10. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 11.10. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 18.10. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 25.10. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 08.11. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 15.11. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 22.11. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 29.11. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 06.12. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 13.12. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 10.01. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 17.01. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 24.01. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Tuesday 31.01. 18:30 - 20:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment: Written exam. Time: 120 minutes.
You will have to answer four questions focusing on the topic of interdisciplinarity. It is a requirement that you refer to at least three different talks out of all the talks from the lecture series. Answer each question by making a concise argument and use interdisciplinarity terminology precisely. (Max. 500 words per question.)Provided literature and personal notes can be used. The automated plagiarism check software Turnitin will be used in this course.
* You have to register for the chosen exam date via U:SPACE https://uspace.univie.ac.at/ before the registration deadline of the respective exam date!
* By registering for this course, you agree that the automated plagiarism check software Turnitin will check all written performances and/or exams submitted by you (in Moodle).
You will have to answer four questions focusing on the topic of interdisciplinarity. It is a requirement that you refer to at least three different talks out of all the talks from the lecture series. Answer each question by making a concise argument and use interdisciplinarity terminology precisely. (Max. 500 words per question.)Provided literature and personal notes can be used. The automated plagiarism check software Turnitin will be used in this course.
* You have to register for the chosen exam date via U:SPACE https://uspace.univie.ac.at/ before the registration deadline of the respective exam date!
* By registering for this course, you agree that the automated plagiarism check software Turnitin will check all written performances and/or exams submitted by you (in Moodle).
Minimum requirements and assessment criteria
Being able to use key terminology in discourses about interdisciplinarity and critically reflect on the lectures in the form of a written exam.%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)
Examination topics
During the lecture series students get to know different research questions, topics, approaches and methods of the core disciplines of cognitive science.
Reading list
Klein, Julie Thompson. “Typologies of Interdisciplinarity: The Boundary Work of Definition.” In The Oxford Handbook of Interdisciplinarity, edited by Robert Frodeman, Julie Thompson Klein, and Roberto Carlos Dos Santos Pacheco, 2nd edition., 21–34. Oxford: Oxford University Press, 2017.Thagard, Paul. “Cognitive Science.” In The Oxford Handbook of Interdisciplinarity, edited by Robert Frodeman, Julie Thompson Klein, and Roberto Carlos Dos Santos Pacheco, 2nd edition., 188–200. Oxford: Oxford University Press, 2017.
Association in the course directory
Last modified: Th 11.05.2023 11:27
Learning Outcomes:
- Familiarity with individual researchers' questions and approaches
- Insight into the field and scientific culture of the core disciplines of cognitive science
- Insight how a particular way to pose a scientific question is related to the methodology chosenLink to program: coming soon
If you are interested in being informed about cognitive science activities at the University of Vienna and in Vienna, have a look at the Vienna Cognitive Science Hub -> https://cogsci.univie.ac.at/and subscribe to one of the mailing lists: https://cogsci.univie.ac.at/news-media/mailing-lists/If you have any questions related to the Lecture Series, please write to Elisabeth Zimmermann (meicogsci@univie.ac.at).