SFV4600 Comparative Social Risk Management Course description

The course presents main social protection strategies with regard to major social risks, as well as evaluation methods to assess the advantages and disadvantages of health and social policy interventions.

Language of instruction is English

None.

After completing the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student has advanced knowledge of

• social protection strategies, in particular related to major social risks: unemployment, sickness, disability, lack of a provider, child abuse, and old age
• the interplay between protection provided by the state, the voluntary sector, the family and the market
• principles of social insurance and health insurance
• strategies for providing residual or universal social and health assistance
• the extended family as a risk-managing institution
• problems with social protection coverage and strategies for extending coverage
• strategies for efficient delivery of health and social services
• policy evaluation methods in health and social care

Skills

The student can

• identify similarities and differences in social and health protection strategies in high-, middle-, and low-income countries
• investigate the arguments for and against public management, public/private partnerships, outsourcing and other strategies with regard to the delivery of publicly provided health and social services
• analyse processes of social/health policy implementation
• evaluate social/health policy outputs and outcomes

General competence

The student is able to

• participate in the debate on how to organise and implement social welfare and health policies, in a national as well as international context
• participate in the discussion of which evaluation strategies that are most useful in various contexts, with regard to evakuations of social welfare and health policies, in a national as well as international context
• participate in the debate concerning how to frame health and social policy goals across countries and cultures

The course is organised into a series of lectures and seminars. Students are expected to play an active role. Lectures are given by the course lecturer and invited lecturers. Students will also be required to present papers, and discuss course themes during lectures and seminars.

The following coursework requirements must have been approved in order for the student to take the exam:

Coursework 1: The student must submit a coursework requirement of at least 1700 words, written individually or in groups of max 4 students. The coursework paper must be approved by the course lecturer.

Coursework 2: The coursework paper is to be presented at a seminar, or poster session, or zoom gathering. Participation in the seminar, or poster session, or zoom gathering is mandatory.

Students whose papers are not approved after the first submission will be given the chance to resubmit once. Papers that are not approved after two submissions will disqualify students from sitting the final examination.

A student who is absent from the presentation will have to submit a compensatory coursework requirement within a given deadline.

The student's learning outcome will be assessed on the basis of an individual six-hour written school exam.

Students may use a spelling dictionary, as well as a bilingual dictionary.

The course focuses on the broad and rigorous approach necessary to do reliable research within the area of analysis and offers a deeper theoretical understanding that can supplement and be leveraged alongside the knowledge and skills from the previous two specialization courses (ACIT4310 Applied Computational and Mathematical Analysis and ACIT4321 Quantum Information Technology).

The course provides a perfect basis for any person who wants to venture into this area. It is also a springboard for functional analysis and operator algebras.

None.

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student has basic knowledge of:

• point set topology
• measure theory
• Fourier analysis
• complex function theory

Skills

On successful completion of this course the student can:

• prove some of the most fundamental results of mathematical analysis
• apply basic notions and results in proofs and derivations

General competence

On successful completion of this course the student can:

• understand literature within the topics described above
• transfer this understanding to their own research.