Universität Wien

150136 UE Exercise Course on Political Systems in East Asia (2026S)

4.00 ECTS (2.00 SWS), SPL 15 - Ostasienwissenschaften
Continuous assessment of course work

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 05.03. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 19.03. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 26.03. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 16.04. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 23.04. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 30.04. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 07.05. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 28.05. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 11.06. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 18.06. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05
  • Thursday 25.06. 11:30 - 13:00 Seminarraum Ostasienwissenschaften 1 UniCampus Hof 5 2I-O1-05

Information

Aims, contents and method of the course

The primary objective of this course is to review basic components of social science research design and guide the writing of an academic research paper (essay, term paper, Master thesis). Designed to reflect EcoS’ integrated teaching and learning concept, this exercise course (“Übung”) complements the seminar Political Systems in East Asia (SE 150138). EcoS students enrolling in this course must also be enrolled in the seminar.

Students will have to complete two major tasks in this course. They are:

1. review key elements of a social science academic research paper; and
2. complete guided writing assignments for specific components of an academic research paper

Assessment and permitted materials

Grading is based on a “continuous assessment of coursework” (“Prüfungsimmanente Lehrveranstaltung”). There are five graded components of this course (% of final grade):
Attendance (10%) After two absences the grade decreases with every absence
Participation (10%) Either very good, good, or insufficient
Assignment 1: Topic/title and research question. (5%) On-time submission results in a 1 grade
Assignment 2: Structure of the literature review. (5%) On-time submission results in a 1 grade
Assignment 3: Literature review (45%)
Assignment 4: Analytical framework – table and text. (25%)
*Late submission of up to one week will result in downgrading of the partial achievement by one full grade, late submission of more than one week will result in a 5.

If the partial achievement (literature review) is assessed negatively (i.e. graded a 5) and the assessment of the entire course is therefore negative, you will be provided an opportunity to improve. You will receive feedback with criteria that you must meet in order for the partial achievement to still be assessed positively. You must meet these criteria by June 22nd 2026 at the latest by resubmitting the improved 'literature review' via email. If you miss the deadlines or do not meet the criteria, you will receive a negative assessment.

Responsible Use of Artificial Intelligence (AI)
• In this course, the use of AI tools is permitted as a supportive tool. This includes utilizing the AI EcoS Prompt Generator, using AI for feedback on ideas, and for proofreading text.
• The use of AI tools for translation is possible only when the student is not utilizing methodology that relies on a proficient, nuanced understanding of the language - such as discourse, content, or narrative analysis (in such cases analysis of available English language materials is often sufficient for your assignment. If students are unsure, they should check with the course instructor). Furthermore, students should not base their assignment solely on materials that have been translated with AI. AI translation should be used only as a supplementary resource when English materials are unavailable. When AI is utilized for translation, students should be cautious and take every possible care to ensure accuracy.
• Other usage of AI is not permitted.
• Particularly, the use of AI for creating the text of student assignments is prohibited. This means students may not adopt AI-generated text passages as their own. The text must be a student's original work; the AI must not produce the paper for students. The deceptive use of AI for text generation is considered academic misconduct. Evidence of such academic misconduct will result in the student being given an ‘X’ for the assignment, which is an entry of a cheat mark on the transcript of records.
• In accordance with the statutes of the University of Vienna (§ 13g (study law)) the course instructor reserves the right to ask students “oral questions to check the plausibility of whether the student has prepared the written partial achievement independently and without the use of unauthorised aids and whether the student knows the academic sources and methods used and has included them in the written partial achievement.”
• The student remains solely responsible for the accuracy and quality of all submitted content.

Minimum requirements and assessment criteria

Classes will focus on preparing and reviewing the assignments submitted by students to assist them with the development of the term paper. Students will also be expected to review examples of research design and participate in discussing them in class.

Examination topics

See above

Reading list

The texts students need to read and comment on will be provided on Moodle, together with further literature recommendations.

Association in the course directory

M3

Last modified: We 04.03.2026 12:06