Universität Wien
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180160 SE Master Thesis Seminar in Cognitive Science, Philosophy of Science and Knowledge Technologies (2025S)

3.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work

Preparation meeting: Monday March 3rd, 2025, 9:00-11:00, HS 2i, NIG, Universitäststrasse 7, 2nd floor

Registration/Deregistration

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. 25 participants
Language: English

Lecturers

Classes

March 3 Vorbesprechung at NIG, HS 2i
March 10, 9-12:15h in Augasse 2-6, Sector C/D, 5th floor, SE-R 5.48
March 24, 9-12:15h in Augasse 2-6, Sector C/D, 5th floor, SE-R 5.48
March 31, 9-12:15h in Augasse 2-6, Sector C/D, 5th floor, SE-R 5.48
April 7, 9-12:15h in Augasse 2-6, Sector C/D, 5th floor, SE-R 5.48
May 26, 9-12:15h in Augasse 2-6, Sector C/D, 5th floor, SE-R 5.48
June 12-14, MEi:CogSci Conference 2025 in Ljubljana

How to get to Augasse 2-6, the former Economics University ("Alte WU"): Take Tram D to Augasse or U4/U6 to Spittelau.
Enter the postmodernist "mirror" building (*not* the white UZA II) and take a lift in Sector C/D to 5th floor, seminar room 5.48.


Information

Aims, contents and method of the course

This Master’s thesis seminar supports to students writing their interdiciplinary Master’s thesis in the fields of cognitive science in their writing process. It is designed as an interdisciplinary course, where students develop the concept (topic, research question, methods, etc.) for their Master’s thesis, present and discuss their plans for their theses, issues and problems. It gives room both for presentations, discussions, as well as peer-feedback.
The seminar includes full participation in the MEi:CogSci conference (writing an extended abstract, peer-review-process, Presentation/talk at the conference) as a compulsory requirement.

* Learning Outcomes:
- Ability to pose and follow a scientific/research question relevant to cognitive science
- Ability to plan, conduct, and document scientific work
- Ability to write an extended scientific abstract
- Ability to defend one’s research and constructively deal with critical remarks
- Ability to participate and contribute in a peer-review process
- Ability to present your research/thesis to an interdisciplinary audience/cognitive science community
- Collaborative work in physical and virtual environments
- Ability to engage in an interdisciplinary scientific discourse
- Ability to communicate one’s expertise in order to contribute constructive criticism to the work of others

* Take a look at the Moodle-Webpages for further details.
* By registering for this course, you agree that the automated plagiarism check software Turnitin will check all written partial performances submitted by you (in moodle).
* For further details/information concerning the MA Thesis process please consult: https://ssc-phil.univie.ac.at/studien/middle-european-interdisciplinary-masters-programme-in-cognitive-science-meicogsci/graduation-and-masters-thesis/

Assessment and permitted materials

Active participation in the seminar (in discussions, etc.), teamwork sessions, peer review and attendance of MEi:CogSci Conference, oral presentations of aspects of your thesis in the seminar sessions in accordance with the next step taken, writing & uploading your Master’s thesis concept/exposé, extended abstract (1 page, max. 3000 characters) of your Master’s thesis research for the review process, 2 reviews of colleagues' abstracts, final abstract for the conference proceedings, giving a talk at the MEi:CogSci Conference.

* If you are a *non* University of Vienna MEi:CogSci student, keep in mind that all the rules and deadlines of this course apply, however, you also have to comply to deadlines and rules of your home university (e.g., regarding formats and handing in your MA thesis concept/exposé, deadlines, etc.).

Minimum requirements and assessment criteria

Minimum requirements for passing this course:
- Successful registration and being accepted for this course
- Your presence at the first meeting (otherwise you will loose your place for this course)
- Active participation in the seminar (in discussions, feedback, etc.) and teamwork sessions
- You are allowed to miss max. 2 sessions (in case of absence please inform the instructor ahead of time in any case!)
- You have to be present and actively participate on ALL days of the MEi:CogSci Conference (see dates above)
- Compulsory presentation of your Master’s thesis project as a talk at the MEi:CogSci Conference
- Active participation in the peer-review process for the conference:
-- writing an extended abstract (max. 3000 characters),
-- 2 reviews of colleagues' abstracts,
-- final abstract (upload) for the conference proceedings following the conference´s format rules
- oral presentation of your MA thesis in the seminar sessions
- Submission of your Master’s thesis concept/exposé at the latest on April 30 (following template provided; see associated Moodle course)
- for further information, deadlines, and upload of your Masters thesis exposé see the MOODLE course (it is open after you have been accepted to this course)

Assessment criteria:
40% | oral presentation of your thesis & active participation (in discussions, etc.) in the seminar sessions
40% | Master’s thesis concept (following template provided; deadline of upload April 30)
10% | Active participation in the seminar and peer-review process for the MEi:CogSci Conference (giving feedback, discussing)
10% | Active participation and presence on ALL days of the MEi:CogSci Conference (includes presenting your Master’s Thesis in a talk) [participation is a must criterion!]

%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)

Important note: if you decide *not* to participate in the seminar, please inform the instructor immediately and de-register until March 31! Otherwise you will receive a negative grade.

Examination topics

Does not apply; the "exam topic" of this seminar is the respective MA thesis (and its development) of the student.

Reading list


Association in the course directory

MA M5

Last modified: Th 16.01.2025 12:46