Applied Business Modelling

2020/2021

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • The student will be able to understand the different elements of the business model as well as the internal connections between the elements of the model.
  • The student will be able to distinguish between different business models archetypes and how their design features differ.

Skills

  • The student will be able to develop the most suitable business model for a new business based on data collected through desk- and field research.
  • The student will be able to distinguish between different archetypes of business models and describe the implications of adopting a new business model within an existing business.
  • The student will be able to use the business model as a strategic tool of communication within new business creation.
  • The student will be able to unfold different scenarios through business model prototyping.

Competences

  • The student will be able to analyse and develop new business with both an external and internal perspective through a business modeling approach.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum ยง17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams

Name of examApplied Business Modelling
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleAnvendt forretningsmodellering
Module codeM-EE-K2-3
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Production
DepartmentDepartment of Materials and Production
FacultyFaculty of Engineering and Science