Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Upon completion of the course, students have the capacity to:
- Identify the central concepts of micro, meso and macro level systems, and analytical challenges related to each level of analysis;
- Assess the characteristics of common data types used in the performance measurement of social and health care operations on different system levels, and the strengths and weaknesses associated with these data types in relation to their practical applicability;
- Form arguments for managerial decision-making based on descriptive data analysis ; and
- Plan the appropriate level of analysis and initial analysis strategy for specific managerial problems in social and health care field.

Credits: 3

Schedule: 29.05.2023 - 11.07.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Olli Halminen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Social and health care industry can be viewed through the lens of micro, meso and macro system levels. Micro-level consists of processes within one organization, macro-level concerns the national health system, and the meso-level falls between the two, pertaining to the interactions between groups of organizations. The goal of the course is to demonstrate how choosing the level of analysis properly can help in creating actionable information with relatively simple descriptive analysis methods.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Pre-lecture assignments, lecture attendance, case assignments

Workload
  • valid for whole curriculum period:

    Three lectures, accompanied by three pre-assignments and three case assignments

DETAILS

Study Material
  • valid for whole curriculum period:

    Study materials include research articles (ca. 2 per theme, to be found on course page) lecture materials, and case assignment materials, including the assignment data sets. Some case assignments require the use of publicly accessible aggregate data sets.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching period: summer 2023