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== Level == Grundläggande nivå - First cycle course == Aim == After completing this course the student should be able to: |
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== Aim == Efter genomförd kurs förväntas studenten kunna uppvisa förmåga att välja och tillämpa business intelligence-verktyg och tekniker för att stödja beslutsfattande |
* explain the basic concepts and methods in business intelligence and the areas of decision support, data mining and artificial intelligence that can be used in business, * explain the characteristics of and relationships between the basic concepts of business intelligence and the areas of decision support, data mining and artificial intelligence that can be used in business, * see how simple problems can be modeled and solved using methods from the decision support, data mining and business intelligence relevant areas, * apply the methods of decision support, data mining and business intelligence to relevant areas. |
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* Informationskrav och modellering för verksamhetsledning och styrning * Multidimensionell modellering * Extract-Transform-Load-processen * Processmodeller för data mining-projekt * Tekniker för data mining * Utvärdering av data mining-modeller |
The course is intended for students who are interested in theoretical and practical aspects of business intelligence and decision support systems. The course includes the basic theoretical background and some interesting applications of data mining and decision support tool that can be used in business. |
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With a focus on business intelligence and decision support the subjects to be covered in the course include: | |
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* Business modelling * The Cross-Industry Standard Process for Business Analytics * Decision support systems and decision making * Data mining: predictive and descriptive modeling * Model evaluation * Time series * Game theory for business * Social media |
BI - Business Intelligence
Level
Grundläggande nivå - First cycle course
Aim
After completing this course the student should be able to:
- explain the basic concepts and methods in business intelligence and the areas of decision support, data mining and artificial intelligence that can be used in business,
- explain the characteristics of and relationships between the basic concepts of business intelligence and the areas of decision support, data mining and artificial intelligence that can be used in business,
- see how simple problems can be modeled and solved using methods from the decision support, data mining and business intelligence relevant areas,
- apply the methods of decision support, data mining and business intelligence to relevant areas.
Syllabus
The course is intended for students who are interested in theoretical and practical aspects of business intelligence and decision support systems. The course includes the basic theoretical background and some interesting applications of data mining and decision support tool that can be used in business.
With a focus on business intelligence and decision support the subjects to be covered in the course include:
- Business modelling
- The Cross-Industry Standard Process for Business Analytics
- Decision support systems and decision making
- Data mining: predictive and descriptive modeling
- Model evaluation
- Time series
- Game theory for business
- Social media
Outline
The course is given as a distance course.