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233051 SE-MA Coping with trouble II: Seminar for Master Students in "Science-Technology-Society" (STS) (2025S)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 30.01.2025 14:00 to We 19.02.2025 23:59
- Deregistration possible until Sa 15.03.2025 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes
The plenary sessions take place on Thursdays,
in the STS-Seminar Room (C602), Universitätsstraße 6, 1010 Wien (6th floor),
on the following dates:
06.03.2025, 20.03.2025, 08.05.2024 and 05.06.2025 - from 14:00 to 16:00
Kick-off meeting 05.03. 09:30 to 11:00 (STS-Library),
19.03. 09:30 to 11:30 (STS-Library), 30.04. 09:30 to 11:30 (STS-Meeting Room), 14.05. 09:30 to 11:30 (Online), 11.06. 09:30 to 11:30 (STS-Library), 25.06. 09:30 to 11:30 (STS-Meeting Room)Group Maximilian Fochler:
06.03., 20.03, 10.04., 08.05., 05.06 and 26.06.2025 from 09:00 to 11:00
Room: STS-Meeting Room (C626), NIG, 6th floorGroup Sarah Davies:
14.03., 28.03., 11.04., 09.05., 06.06. and 20.06.2025 from 09:00 to 11:00
Room: 4.25, Kolingasse 14-16Group Nina Klimburg-Witjes:
05.03., 19.03., 07.05., 28.05., 11.06. and 18.06. (alternative date) from 10:00 to 12:00
Room: STS-Meeting Room (C626), NIG, 6th floor
Information
Aims, contents and method of the course
The seminar for master students aims to provide students a space to present their ongoing thesis work, and to receive feedback. In particular, students are asked to address problems and challenges they are facing at the current stage of their work, and to share and discuss them in class.Students work in small groups and present and discuss their work and progress. In addition, there will be four plenary units with all participating students, dedicated to discussing cross-lying issues of the thesis process.
Assessment and permitted materials
To pass the seminar, students are expected to complete the following tasks:For the plenary units, prepare one slide and a three minute presentation of your thesis, and write two papers (750 to 1500 words) related to a specific assignment.For the group units, agree with your supervisor/group coordinator on at least two writing tasks (this is done in the first group unit); write, present and discuss them in the group.
Comment on two texts and/or presentations of your group colleagues.
Read all texts written by your group colleagues.
Productively engage in the discussion.For those doing their first master seminar, one of the group presentations is expected to be an expose of the thesis project.For those doing their second master seminar, a required assignment in the course is to hand in a complete first draft of the empirical chapter of their thesis. One or both group assignments can be part of this. Latest deadline for the complete empirical chapter draft is September 30th.This course uses the plagiarism-detection service Turnitin for larger assignments.
Comment on two texts and/or presentations of your group colleagues.
Read all texts written by your group colleagues.
Productively engage in the discussion.For those doing their first master seminar, one of the group presentations is expected to be an expose of the thesis project.For those doing their second master seminar, a required assignment in the course is to hand in a complete first draft of the empirical chapter of their thesis. One or both group assignments can be part of this. Latest deadline for the complete empirical chapter draft is September 30th.This course uses the plagiarism-detection service Turnitin for larger assignments.
Minimum requirements and assessment criteria
The grading of the course is based on the separate assessment of different tasks on a scale of 1-5.Written tasks and presentations in the group units: 45 percent, assessed individually;
Comment(s) in the group units: 15 percent, assessed individually;
Written tasks for the plenary units: 25 percent, assessed individually;
In-class participation: 15 percent, assessed individuallyMinimum requirements
To successfully complete the course, a weighted average of at least 4,5 is required. Failure to meet the attendance regulations, to deliver course assignments on time, or to adhere to standards of academic work may also be considered in the course assessment.
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met. For more information please see the handout.Attendance
Please note: If you miss the first session of the course unexcused, you will be automatically de-registered. Presence and participation is compulsory (for details, see course regulation in the handout).Guidelines for the use of AI tools
If you use AI (e.g. Chat GPT or similar software) as a supporting tool in your assignments, this should be acknowledged openly and clearly, so that the instructor is aware of where and to what extent the AI tool was used.
Comment(s) in the group units: 15 percent, assessed individually;
Written tasks for the plenary units: 25 percent, assessed individually;
In-class participation: 15 percent, assessed individuallyMinimum requirements
To successfully complete the course, a weighted average of at least 4,5 is required. Failure to meet the attendance regulations, to deliver course assignments on time, or to adhere to standards of academic work may also be considered in the course assessment.
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met. For more information please see the handout.Attendance
Please note: If you miss the first session of the course unexcused, you will be automatically de-registered. Presence and participation is compulsory (for details, see course regulation in the handout).Guidelines for the use of AI tools
If you use AI (e.g. Chat GPT or similar software) as a supporting tool in your assignments, this should be acknowledged openly and clearly, so that the instructor is aware of where and to what extent the AI tool was used.
Examination topics
n.a.
Reading list
Association in the course directory
Last modified: Th 30.01.2025 12:26