Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Monday | 10/02/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 10/09/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 10/16/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 10/23/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 10/30/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 11/06/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 11/13/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 11/20/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 11/27/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 12/04/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 12/11/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 12/18/23 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 01/08/24 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 01/15/24 | 09:00 AM - 12:00 PM | TC.4.13 |
Monday | 01/22/24 | 09:00 AM - 12:00 PM | TC.4.13 |
Globalisation and Social Policy II addresses global and international dimensions of health and social policy as well as regional and local health and social policies in their interrelationship with global and international developments. In this course, building on Globalisation and Social Policy I, students working on group projects will pass through an entire research process. This process is supported by regular feedback and coaching sessions involving both lecturers and student peers. Groups will work on selected topics towards (i) a final paper in the format of a scientific article (“academic project”) and (ii) an output addressing the broader public, the media or specific stakeholder groups (“going public project”).
The course “Globalisation and Social Policy (Part 2)” follows the principle of research-led teaching. After completion of this course, students will be able to
- discuss the institutional and socio-economic context for particular social challenges,
- articulate alternative approaches to analysing these challenges,
- apply alternative theories and concepts to specific analytical questions,
- apply methods from the first year of the Master Program in these analytical tasks,
- draw policy conclusions from the analysis.
In addition, students will have
- the know-how to obtain and analyse information which will aid decision making,
- the ability to conduct a research project in a global or international setting,
- the ability to take a multi-disciplinary approach to the application of analytical templates and other techniques,
- improved academic writing and presentation skills,
- extensive experience in working in multi-cultural teams.
This being a ‘Course with continuous Assessment (PI)’, the university requires students to attend at least 80% of all classes for completing the course successfully. Ideally you don’t miss any classes.
The course is based on (a) an introductory discussion of readings and lectures and (b) students’ work on selected case studies. Groups of students will work on selected topics towards (i) a final paper in the format of a scientific article ("academic project") and (ii) an output addressing the broader public, the media or specific stakeholder groups ("going public project"). Apart from regular active participation in class and in group discussions, students are required to work in international teams, to provide presentations on their work and to deliver written papers.
- Readings
- Lectures
- Class discussion
- Case analysis
Apart from regular active participation in class and in group discussions, students are required to work in international teams, to provide presentations on their work and to deliver written papers.
Assessment (relative weights in the final grade)
- intermediate report and draft papers (10%)
- group presentations (15%)
- individual peer review of draft paper and active participation in discussions (15%)
- final group report in scientific paper format (40%)
- going public project (20%)
Grades (point ranges)
- 1: Excellent (90-100 points)
- 2: Good (80-89 points)
- 3: Satisfactory (65-79 points)
- 4: Sufficient (50-64 points)
- 5: Fail (0-49 points)
Please note the following policy regarding the use of generative AI which peratins to all courses in the SEEP Master program:
"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."
Globalisation and Social Policy I
Prerequisites for incoming exchange students nominated by WU partner universities:
Minimum requirements to attend this course:
• Economics (accumulated minimum of 16 ECTS credits) OR
• Social sciences(accumulated minimum of 16 ECTS credits) OR
• Mathematics / statistics /quantitative methods (accumulated minimum of 16 ECTS credits)
Proficiency in English is required. If you do not meet this requirement, we reserve the right to withdraw students from the course.
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