SOS1150 Social work - life course and everyday life Course description

This course focuses on people’s everyday life, living conditions and social challenges that impact their quality of life. The students will learn about social work relating to different phases of and transitions in life. The course sheds light on how the challenges and problems of everyday life can be prevented, remedied and coped with. It also takes on a critical perspective on norms and the concept of normality. Students will learn about how social workers can identify and support individuals’ coping strategies, motivate change and provide help and support in demanding life situations.

None.

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

Knowledge

The student has:

• knowledge of social science theories on how to understand human development from childhood to old age 
• knowledge of how social challenges interact and affect the individual’s quality of life in different phases of and transitions in life 
• knowledge of how social structures and social conditions impact the conditions for upbringing and living conditions in general
• knowledge of protection and risk factors as a basis for implementing preventive measures against marginalisation and exclusion in different arenas 

Skills

The student can

• identify, prevent and remedy social challenges relating to different phases of life
• identify and assess resources in the life situations of different groups of people and help to strengthen people’s coping strategies in demanding life situations

General competence

The student:

• can disseminate knowledge of the link between different everyday social problems in different phases of life 
• has insight into how marginalisation and discrimination affect people’s social life and health

Teaching methods vary between lectures and student-active learning methods. Digital learning methods are included in teaching. Self-study is required between each teaching session in the course.  

No coursework requirements/compulsory activities.

The course covers quantitative and qualitative research methods that are relevant to prosthetics and orthotics. The students will learn about research design, data collection and analysis and research ethics. The themes reliability, construct validity and internal and external validity as a basis for critical reading of research articles and other sources will be emphasised. These themes are followed up in subsequent courses and provide the students with a basis for their work on the bachelor’s thesis at the end of the programme.

The student must have passed the first year of the programme or equivalent, with the exception of the course ORI1050.

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

Knowledge

The student

• can explain basic concepts in theory of science
• can explain different types of research design
• has knowledge of the use of systematic literature reviews and relevant quantitative research methods (RCT, repeated measures, cross-sectional etc.)
• can describe interviews as a qualitative research method and other qualitative research methodology
• can explain hypothesis testing, credibility, reliability, validity, normal distribution, p-value and probability calculation
• can describe univariate and bivariate statistical methods

Skills

The student

• can collect and analyse quantitative individual data, both descriptive and inferential, from questionnaires/experiments/statistics
• can collect and analyse qualitative individual data
• can reflect on the collection and analysis of individual data
• can present analysis results

General competence

The student

• can identify potential research ethical issues in research articles

The work and teaching methods include self-study, group work, seminars, lectures and skills training.

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

• minimum attendance of 80 % in seminars, literature search classes, computer labs and group work.