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.

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A student who has completed his or her qualification has 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

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

This course covers the use of scripting as a programming paradigm to solve challenges like system automation and integration as well as data analysis. Focus is on understanding how scripting combined with utility libraries can be helpful in solving a task. Scripts can vary in length and complexity, but are normally written in a high-level language that focuses on ease of expression and readability as well as a powerful set of libraries for integrating with other systems. Scripts can be written as a mean to create tools that eases scientific work or automates tasks. However, they can also be used to make systems interact that would normally not. In most automated workflows, there are several scripts acting as the glue between otherwise incompatible systems.

No formal requirements over and above the admission requirements.

The following required coursework must be approved before the student can take the exam:

3 mandatory lab assignments (oblig)

An individual project report between 5000 and 10000 words,;not counting code appendix.

The exam can be appealed.

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New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

All aids are permitted.