233043 SE Sensing In/security (2020W)
Sensors as transnational security infrastructures
- Anmeldung von Do 03.09.2020 09:00 bis Mi 23.09.2020 23:59
- Abmeldung bis So 25.10.2020 23:59
Termine (iCal) - nächster Termin ist mit N markiert
Adapted Teaching Format
In order to comply with COVID-19 safety measures, the teaching for this course is adapted in order to facilitate presence teaching. In the case that more than 15 students registered for the course, students will be randomly assigned to either Group A or Group B. Your group assignment determines your class dates and times, and the deadlines for your assignments. The TAs will inform you about which group you are assigned to before the start of the semester. In case there are less than 15 registrations for the course, all class dates and times shall comply with those of Group A.
18.01: 12:45-14:45Group B:
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
● Read the all literature listed as obligatory and, if possible, also the suggested readings listed for each scheduled session.
● Write a summary of the readings for each class indicated with an * in the course handout; each reading summary should be about 900 words and include a summary of the texts’ main Arguments and 2-3 questions that link the readings to the theme of the session. Summaries should be uploaded to the Moodle forum two days before each session.
● Participate actively in class discussions and group work.
● Prepare and guide the discussion in one of the seminar units.
● Take 5 pictures figuring sensors / sensing devices in your direct environment (e.g. at home, on your way from home to university, ….) with a short description (approx. 5 lines about place & time, what kind of sensor it shows and why you took the picture); copy the picture into a word document and write the short description below (1 page for each picture + text) and upload the word file(s) to Moodle.
● Produce regular entries into your personal sensors look-book (will be outlined in detail in class; in short: an image plus 400 words reflection which also refers to reading and discussion in class); you have to hand in 4 times 4 look-book entries (details will be further specified in class); the dates to upload them to Moodle are before midnight.
● At the end of the seminar you have to produce your personal plastics look-book: this means ordering the 16 look-book entries you have submitted in the course of the seminar with the aim to create a visual vignette, an 2500 word essay that brings together the images from the look-book, using texts we have read and discussions we had in the seminar.
Mindestanforderungen und Beurteilungsmaßstab
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)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.
This course uses the plagiarism-detection service Turnitin for larger assignments.