2016/2017 BA-BSACO1002U Service Management Foundations: Arts and Culture
English Title | |
Service Management Foundations: Arts and Culture |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Mandatory |
Level | Bachelor |
Duration | One Semester |
Start time of the course | Autumn |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for BSc in Service
Management
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Course coordinator | |
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Teachers:
H.C. Kongsted (INO) |
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Main academic disciplines | |
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Last updated on 21-09-2016 |
Learning objectives | |||||||||||||||||||||||||
To achieve the grade 12, students
should meet the following learning objectives with no or only minor
mistakes or errors: In order to be awarded the highest grade (12)
the student would have to fulfill the following course objectives:
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Examination | |||||||||||||||||||||||||
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Course content and structure | |||||||||||||||||||||||||
The course content has two main elements. The largest part of the course presents key concepts and foundations of one of the following fields: (1) tourism and hospitality, (2) arts and culture, and (3) service innovation. Each field represents the study focus for one of the three specializations in the SEM program. The course provides a succinct yet comprehensive introduction to each specialization and field of study, by giving a general overview of service industries and their development. The course discusses the importance of services in the context of each field of study (see 1, 2, 3 above) and critically examines relevant research methods and data sources.
The second element of the course consists of a brief introduction to to the fundamentals of descriptive statistics and data management. This part includes the management of statistical data and the design and analysis of tables and graphical representations. |
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Teaching methods | |||||||||||||||||||||||||
The course includes lectures, interactive exercises in class and one workshop on information technologies and descriptive statistics | |||||||||||||||||||||||||
Student workload | |||||||||||||||||||||||||
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Expected literature | |||||||||||||||||||||||||
Statistics: Alan Agresti, A.&
Franklin, C. (2014) Statistics: The Art and Science of
learning from Data¹, Pearson Prentice Hall. (3rd ed)
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