150137 SE Research Seminar and Monitoring Class for the Master's and PhD Thesis (2026S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 09.02.2026 10:00 bis Mi 25.02.2026 10:00
- Abmeldung bis Di 31.03.2026 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 03.03. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 10.03. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 17.03. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 24.03. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 14.04. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 21.04. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 28.04. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 05.05. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 12.05. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- N Dienstag 19.05. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 26.05. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 02.06. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 09.06. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 16.06. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 23.06. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
- Dienstag 30.06. 13:15 - 14:45 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Workload and Assessment
There are four assignments. Details are available on Moodle.
• Assignment 1: Topic/title and research question.
• Assignment 2: Relevance of the research question.
• Assignment 3: Structure of the literature review.
• Assignment 4: Literature review and Analytical Framework.
Late submission: Late submission is not allowed for any of these assignments.
The final grade for the course will be calculated as follows:
• Assignment 1: 10%
• Assignment 2: 20%
• Assignment 3: 20%
• Assignment 4: 50%Guidelines on the Use of Artificial Intelligence (AI):
In this course, the use of AI tools (e.g., ChatGPT, u:ai, DeepL) is explicitly permitted as a sup-portive tool. This includes using AI for inspiration, structuring ideas, acting as a "sparring partner" for feedback, proofreading, and translation.
The use of AI for ghostwriting is strictly prohibited. This means you may not adopt AI-generated text passages as your own. The intellectual core and the final drafting of the text must be your original work; the AI must not produce the paper for you.
Transparency Requirement: Any form of AI support must be disclosed in an appendix (or a dedicated section) of your submission. Please briefly state which tool was used and for what purpose (e.g., "DeepL used for translating technical terms from source XY" or "ChatGPT used for brainstorming the initial outline"). The undisclosed or deceptive use of AI for text genera-tion is considered academic misconduct and will be treated accordingly. You remain solely responsible for the factual accuracy and scientific quality of all submitted content.
Plausibility check: In accordance with the statutes of the University of Vienna (§ 13g) the course instructor reserves the right to ask “oral questions to check the plausibility of wheth-er the student has prepared the written partial achievement independently and without the use of unauthorized aids and whether the student knows the academic sources and methods used and has included them in the written partial achievement.”
There are four assignments. Details are available on Moodle.
• Assignment 1: Topic/title and research question.
• Assignment 2: Relevance of the research question.
• Assignment 3: Structure of the literature review.
• Assignment 4: Literature review and Analytical Framework.
Late submission: Late submission is not allowed for any of these assignments.
The final grade for the course will be calculated as follows:
• Assignment 1: 10%
• Assignment 2: 20%
• Assignment 3: 20%
• Assignment 4: 50%Guidelines on the Use of Artificial Intelligence (AI):
In this course, the use of AI tools (e.g., ChatGPT, u:ai, DeepL) is explicitly permitted as a sup-portive tool. This includes using AI for inspiration, structuring ideas, acting as a "sparring partner" for feedback, proofreading, and translation.
The use of AI for ghostwriting is strictly prohibited. This means you may not adopt AI-generated text passages as your own. The intellectual core and the final drafting of the text must be your original work; the AI must not produce the paper for you.
Transparency Requirement: Any form of AI support must be disclosed in an appendix (or a dedicated section) of your submission. Please briefly state which tool was used and for what purpose (e.g., "DeepL used for translating technical terms from source XY" or "ChatGPT used for brainstorming the initial outline"). The undisclosed or deceptive use of AI for text genera-tion is considered academic misconduct and will be treated accordingly. You remain solely responsible for the factual accuracy and scientific quality of all submitted content.
Plausibility check: In accordance with the statutes of the University of Vienna (§ 13g) the course instructor reserves the right to ask “oral questions to check the plausibility of wheth-er the student has prepared the written partial achievement independently and without the use of unauthorized aids and whether the student knows the academic sources and methods used and has included them in the written partial achievement.”
Mindestanforderungen und Beurteilungsmaßstab
The final grade for the course will be calculated as follows:
• Assignment 1: 10%
• Assignment 2: 20%
• Assignment 3: 20%
• Assignment 4: 50%Registration
You have registered via the electronic registration system of the University of Vienna. This registration, combined with participation in at least one session, is commensurate to a legally binding registration for examination. In other words, you will be graded. De-registration for this course will be possible according to the date set by the central teaching administration of the University of Vienna. If you decide to drop out of the course after that date, you will be graded nevertheless.
--> Please note: Maintaining your registration for the course will be regarded as agreement with these terms.
• Assignment 1: 10%
• Assignment 2: 20%
• Assignment 3: 20%
• Assignment 4: 50%Registration
You have registered via the electronic registration system of the University of Vienna. This registration, combined with participation in at least one session, is commensurate to a legally binding registration for examination. In other words, you will be graded. De-registration for this course will be possible according to the date set by the central teaching administration of the University of Vienna. If you decide to drop out of the course after that date, you will be graded nevertheless.
--> Please note: Maintaining your registration for the course will be regarded as agreement with these terms.
Prüfungsstoff
See above and Moodle.
Literatur
Will be posted on Moodle.
Zuordnung im Vorlesungsverzeichnis
WM5
Letzte Änderung: Mo 09.02.2026 11:46
This seminar is a key step in writing an MA or PhD thesis in East Asian Economy and Society (EcoS). In the interest of efficiency and effectiveness, it should be attended in the third or fourth semester of the MA program, or at the beginning of the PhD program.
You are expected to have a topic for your thesis in mind. It is also assumed that you have already written EcoS term papers.
The seminar leads you through all components of the theoretical part of your thesis. At the end of the seminar, you will have finished an advanced draft of the theoretical part of your EcoS MA thesis.
Please note that this course has been designed for advanced students of the EcoS MA and PhD programs. This course is not recommended for EcoS students in the first and second semester. It is not suitable for students of other programs, where other standards might ap-ply.