2017/2018 BA-BSSIO1001U Service Management Foundations: Service and Innovation
English Title | |
Service Management Foundations: Service and Innovation |
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:
Hadi Farid (INT) H.C. Kongsted (INO) |
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Main academic disciplines | |
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Last updated on 31-08-2017 |
Relevant links |
Learning objectives | ||||||||||||||||||||||
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
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Examination | ||||||||||||||||||||||
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Course content and structure | ||||||||||||||||||||||
The course 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 | ||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||
For the innovation part: in class via exercises
etc.
For the statistics part: office hours and a follow-up on the workshop assignment |
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Student workload | ||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||
The course readings include a number of scientific articles (available online via CBS Library) and one book (bibliographic reference below). A complete list of the readings will be uploaded on LEARN prior to the course start. Alan Agresti, A.& Franklin, C. (2014) Statistics: The Art and Science of learning from Data, Pearson Prentice Hall. (3rd ed)
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