English   Danish

2012/2013  BA-HAS_MI  Methods I: Descriptive Methods for Service Management

English Title
Methods I: Descriptive Methods for Service Management

Course information

Language English
Exam ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Course period First Quarter
Time Table Please see course schedule at e-Campus
Study board
Study Board for BSc in Service Management
Course coordinator
  • Ana María Munar
    Ana Maria Munar - Department of International Economics and Management
Main Category of the Course
  • Experience economy and service management
  • Statistics and mathematics
Last updated on 03-09-2012
Learning objectives
  • Demonstrate knowledge and understanding of the central concepts and theories on the service sectors presented through the course
  • Critically assess the value and relevance of the management of information and statistical data sources
  • Understand descriptive methods and apply them for knowledge management in different service sectors
  • Identify and formulate problem statements and make a methodological proposal selecting appropriate descriptive tools for problem solving in the service sectors
  • Provide an adequate structure and design for a project proposal
  • Demonstrate a basic use of information technologies to design and present statistical data in the form of tables and other graphical representations
  • Be able to critically examine statistical measurements and data sources of the service sectors
  • Understand and provide interpretations of reports and documents about services that use descriptive methods and statistical data
Students not enrolled in BSc in Business Administration & Service Management must document a level in English equal to TOEFL 575, and A level in mathematics equal to Danish level B
Methods I: Descriptive Methods for Service Management:
Type of test Written Exam
Marking scale 7-step scale
Second examiner Second internal examiner
Exam period Autumn Term
Aids Please, see the detailed regulations below
Duration 4 Hours
• The written exam takes place on CBS computers
• Graphs can be written by hand
• Aids: Open book, but please note:
• Students have access to their personal files (S-drive on CBS network)
• Students do NOT have access to Internet, LEARN, and other services from CBS (except their personal S-drive on CBS network)
• Students are not allowed to bring personal electronic devices to the exam, except a non-programmable calculator.
• Re-take examinations and make-up examinations are subject to the same regulations as the ones noted above
Course content

This course provides students with the methodological tools and conceptual frameworks to understand, analyze and manage descriptive statistical data and information on the economic development of services with special focus on the leisure, tourism, hospitality, travel and cultural sectors. It provides competences to formulate and develop project proposals based on descriptive research methods and awareness of the research process and knowledge management applied to services.
The course is divided in two main sections. The first one introduces theories and tools related to problem solving, problem formulation and project structure and it explains the fundamentals of descriptive statistics and data management. This includes the management of statistical data and the design and analysis of tables and graphical representations. The second section introduces the conceptual frameworks of the different service sectors, provides an understanding of the reasons of why to measure services and critically examines the different statistical data sources which can be used for descriptive research techniques. Finally, the course introduces the use of information technologies for descriptive statistics.

Teaching methods
The course includes lectures and interactive exercises in class, optional home assignments and a 6 hour workshop on information technologies and descriptive statistics.
Student workload
Classes 30 hours
Workshop/exercises 6 hours
Preparation for class 170 hours
Home assignments 15 hours
Examination 4 hours
Expected literature
  • Compendium and other documents accessible from the Internet or uploaded at LEARN. (See course schedule and readings)
  • Alan Agresti and Christine Franklin: ‘Statistics. The Art and Science of learning from Data’, 2nd edition. Pearson Education International.

Please note, minor changes may occur. The teacher will upload the final reading list to LEARN two weeks before the course starts.

Last updated on 03-09-2012