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2016/2017  KAN-CSSMO1601U  Research Methods

English Title
Research Methods

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Full Degree Master
Duration One Quarter
Start time of the course First Quarter, Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for MSc of Social Science
Course coordinator
  • Oliver Jacob Weber - Department of Marketing (Marketing)
Main academic disciplines
  • Methodology and philosophy of science
  • Service management
  • Statistics and quantitative methods
Last updated on 15-08-2016
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • To account for the basic elements of Philosophy of science.
  • To be able to justify why a specific methodology is chosen – related to the formulated hypotheses
  • To assess, analyse, and evaluate analysis results
  • To design and plan basic qualitative and quantitative research schemes
Examination
Research Methods:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual exam
Assignment type Multiple choice AND written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Autumn
Aids allowed to bring to the exam Limited aids, see the list below:
  • Written sit-in-exam on CBS' computers
  • Books and compendia brought by the examinee
  • Notes in paper format brought by the examinee
  • Any calculators
  • All dictionaries
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Course content and structure

This course is placed in the first quarter, as it lays out the academic fundamentals concerning empirical data and academic rigor when arguing. We would like to give the students a toolbox in:


       -      Be able to formulate hypothesis's based on a (proper) problem formulation

  • Identify and choose relevant theories for analytic purposes

  • Principles of forecasting as a key to predict and plan capacity

  • Learn how to choose relevant methodologies, that being quantitative, or qualitative methodologies, or combinations thereof
Teaching methods
The course is taught through a combination of lectures, seminars and case-studies. Thorough preparation and in-class participation is expected.
Student workload
Course activities (including preparation) 170 hours
Exam (including exam preparation) 36 hours
Last updated on 15-08-2016