Business Intelligence and Analytics


Content, progress and pedagogy of the module

Learning objectives


  • Account for Business Intelligence (BI) concepts, theories and methods including:
    • Creation of knowledge from either people/employees/"experts"  or from analysing existing data
    • Knowledge representation
    • Traditional BI handling systems such as expert systems, knowledge base systems, decision support systems and executive information systems.


  • Make decisions about the optimal use of the BI concepts, theories, methods and selected systems for identification of needs, development of alternative solutions, evaluation selection and implementation
  • Use BI in disciplines such as enterprise engineering/modelling, business analytics, data mining, etc.


  • Apply knowledge and skills in relation to business intelligence development projects and thereby apply the knowledge handling activities: knowledge acquisition, knowledge verification, knowledge representation and knowledge engineering.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

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



Name of examBusiness Intelligence and Analytics
Type of exam
Written or oral exam
Permitted aidsInformation about allowed helping aids for the examination will be published in the description of the semester/module.
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 titleBusiness Intelligence og analytiske metoder
Module codeM-OIM-K2-3
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Production
DepartmentDepartment of Materials and Production
FacultyThe Faculty of Engineering and Science