Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 10/04/23 | 10:00 AM - 12:00 PM | TC.3.05 |
Thursday | 10/05/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 10/11/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 10/12/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 10/18/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 10/19/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 10/25/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 11/02/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 11/08/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 11/09/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 11/15/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 11/16/23 | 12:30 PM - 02:30 PM | TC.4.05 |
Wednesday | 11/22/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 11/23/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 11/29/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 11/30/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 12/06/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 12/07/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 12/13/23 | 12:30 PM - 02:30 PM | TC.3.09 |
Thursday | 12/14/23 | 12:30 PM - 02:30 PM | D4.0.039 |
Wednesday | 01/10/24 | 10:00 AM - 02:00 PM | TC.4.05 |
Wednesday | 01/17/24 | 10:00 AM - 01:30 PM | TC.3.05 |
- During class there will be applied exercises and data analysis, reading-discussions, interactive exercises, focused discussions of case-studies and student-presentations.
- The sessions will build on the readings – so reading them before each session is obligatory.
Block specific evaluations - 75% (3 x 25) - due at end of each block
Final reflection essay - 25% - due 16th January 2024
Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.
SEEP courses do not allow creation of assignments, exam answers or other assessed work using generative AI (e.g. ChatGPT). All such work is expected to be the original work by the student concerned and is assessed as such. Work copied from a generative AI source is equivalent to plagiarism and will be treated as such.
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