Programplaner og emneplaner - Student
SIW4100 International Health Policy Course description
- Course name in Norwegian
- International Health Policy
- Study programme
-
Master Programme in Applied Social Sciences - Study Option International Social Welfare and Health PolicyMaster Programme in Applied Social SciencesMaster Programme in Applied Social Sciences - Programme Option Social Work
- Weight
- 10.0 ECTS
- Year of study
- 2024/2025
- Programme description
- Course history
-
Introduction
The course gives a comprehensive introduction to global health problems, health policy studies, and international and national strategies to meet these problems.
Language of instruction is English.
Required preliminary courses
The course provides in-depth knowledge of quantitative design and statistical analysis for use in the student's own master's thesis. The course focus on the possibilities and limitations of different quantitative designs, understanding various data sources, and quality requirements for studies based on statistical analysis within a social science research tradition.
The course includes in-depth knowledge of cross-sectional design, longitudinal design, experiment, and the survey method. Students will also gain in-depth knowledge of conditions that may affect the validity and reliability of a survey and skills in assessing such conditions. Furthermore, students will both learn and not least practice univariate, bivariate, and multivariate analyses.
There will be a particular focus on regression analysis. Through lectures, e-resources and seminars, students will gain in-depth knowledge and skills in the use of regression-based analysis.
Language of instruction is English.
Learning outcomes
None.
Teaching and learning methods
The course is organised into a series of lectures and seminars. Students are expected to play an active role. Students will also be required to present papers, and discuss course themes during lectures and seminars.
Course requirements
The course consists of lectures, exercises with statistical software, e-lectures and assignments that the students work with on their own and receive guidance via e-based resources.
Students will work with an analysis project consisting of univariate, bivariate, and multivariate analysis (regression analysis).
Assessment
The student's learning outcome will be assessed on the basis of an individual six-hour written school examination.
Permitted exam materials and equipment
To be eligible to take the exam, the student must have submitted a project outline, which must be approved by the course supervisor.
All required coursework must be completed and approved by the given deadline for the student to take the exam. If the coursework requirements have not been approved, the student will be given one opportunity to submit an improved version by a given deadline.
Grading scale
The exam in the course consists of two parts: a multiple-choice exam, and a written course paper.
A 2-hour multiple-choice school exam. Counts for 30 per cent of the final grade.
Semester assignment with a maximum length of 10 pages (+/- 10 percent). Font and font-size: Calibri 12 pt. Line spacing: 1.5. Tables and figures are in addition. Counts for 70 per cent of the final grade.
All parts of the exam must be passed in order to pass the course. If one of the exam components is evaluated as not passed, the failed component may be retaken.
Examiners
School exam: No aids are allowed.
Semester assignment: All aids are permitted, as long as source citation rules are complied with.
Course contact person
Simon Innvær