Universität Wien FIND
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230138 SE Technologies, Bodies, Data (2017W)

Perspectives from STS

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 13.11. 12:30 - 14:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Mittwoch 15.11. 11:45 - 13:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 16.11. 09:00 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Montag 11.12. 11:30 - 14:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Dienstag 12.12. 12:00 - 15:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Mittwoch 13.12. 12:00 - 15:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Freitag 15.12. 11:45 - 13:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

In contemporary societies the body is increasingly imagined as the interface between information and biology. Genetics, ultrasounds, wearable computing and MRIs are all examples of technologies that play a role in this translation. As these technologies become more pervasive, they shape us and our identities. This course explores the ways in which technoscientific representations of the body are reshaping of the boundaries between technical and biological, thus giving rise to ‘new’ conceptualizations of the human body.
Some questions we will critically address are:
What kinds of persons and bodies are being imagined and emerging within these initiatives?
What does it mean to be human and how is this category constructed?
How should we think about our interactions with technology?
How can technology change the way in which we perceive and are perceived by those around us?

The course is designed as a ‘tower’ and our task is to piece it and build it together. To do so, we will use different technoscientific case studies - such as genetics, wearable computers, quantified self, AI, cybernetics - to explore both their workings and the distinct STS approaches that we can bring to bear in their analysis.

Art der Leistungskontrolle und erlaubte Hilfsmittel

To pass the seminar, students are expected to complete the following tasks:
- Participation: Attendance is mandatory but not sufficient. You must engage actively and critically in the discussions and read the seminar literature prior to arriving in class for each session.
- 'Daily' questions: Each student will submit two questions pertaining to the sessions’ readings. These must be submitted by email (ana@anaviseu.org) until 7pm the day before the session is to be held.
- Leadership of one class discussion: Students will be asked to lead one class discussion, this will be done alone, in pairs, or in groups, depending on class size. Discussion leaders should come to class prepared with a one-page handout for the other students that synthesizes the key themes of the session’s readings and how the readings relate to those themes. They should be prepared to engage the class in a robust discussion of those themes. The day of their presentation students will not be required to submit a reflection piece.
- Course paper: To complete the course, students must submit a 10-page final paper addressing a theme related to the course. This can relate to the oral presentation (and feedback) but the must be done on an individual basis. The essay topic must be agreed with the instructor before the end of the first week of the course. The essay should clearly state the chosen question, its relevance to the course, and the conceptual framework for the analysis. It should also reach a clear set of conclusions regarding the academic and/or policy-related significance of the paper. It must include a bibliography. Papers will be due on the final day of class. Papers must be double-spaced, 12-point font, with 1 inch margins on all sides.

Grading Scheme:
The grading scheme is based on a total of 100 points. These points will be awarded in relation to students’ performance in meeting the course learning aims in the different obligatory tasks.
The maximum number of points to be acquired for each task is:

Participation, 20 points, assessed individually, feedback on request
'Daily' questions, 10 points, assessed individually, feedback on request
Leadership of one class discussion, 30 points, assessed as group work, feedback on request
Course final paper, 40 points, assessed individually, feedback by lecturer

Mindestanforderungen und Beurteilungsmaßstab

A minimum of 50 points is necessary to successfully complete the course. Failure to meet the attendance regulations, to deliver course assignments on time or to adhere to standards of academic work may result in a deduction of points.

Grades:
100-87 points Excellent (1)
86-75 points Good (2)
74-63 points Satisfactory (3)
62-50 points Sufficient (4)
49-0 points Unsatisfactory (5) (fail)

Attendance:
Presence and participation is compulsory. Absences of four hours at maximum are tolerated, provided that the lecturer is informed about the absence. Absences of up to eight hours in total may be compensated by either a deduction of grading points or/and extra work agreed with the lecturer. Whether compensation is possible is decided by the lecturer.
Absences of more than eight hours in total cannot be compensated. In this case, or if the lecturer does not allow a student to compensate absences of more than four hours, the course cannot be completed and is graded as a ‘fail’ (5), unless there is a major and unpredictable reason for not being able to fulfil the attendance requirements on the student’s side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. It is the student’s responsibility to communicate this in a timely manner, and to provide relevant evidence to their claims if necessary. Whether this exception applies is decided by the lecturer.

Important Grading Information:
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met. If a required task is not fulfilled, e.g. a required assignment is not handed in or if the student does not meet the attendance requirements, this will be considered as a discontinuation of the course. In that case, the course will be graded as ‘fail’ (5), unless there is a major and unpredictable reason for not being able to fulfill the task on the student's side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. It is the student’s responsibility to communicate this in a timely manner, and to provide relevant evidence to their claims if necessary. Whether this exception applies is decided by the lecturer.
If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as ‘not assessed’ and will be entered into the electronic exam record as ‘fraudulently obtained’. Self-plagiarism, particularly re-using own work handed in for other courses, will be treated likewise.

Prüfungsstoff

Literatur


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 07.09.2017 11:09