Course - Business Intelligence - INFT2006
Business Intelligence
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About the course
Course content
Business intelligence (BI) is about searching for, collecting, integrating, analyzing and presenting data in such a way that they provide a good basis for decision-making for organizations. The course includes: Decision support / decision process, reasons for operating with BI, data warehousing, reporting and OLAP, dimensional modeling Business intelligence & analytics, data visualization
Learning outcome
Knowledge
Candidates:
- has knowledge of the potential of business intelligence systems to help decision makers search, collect, integrate and analyze data
- Has insight into the various components that are part of a BI solution
- Has insight into challenges related to BI
- Has knowledge of principles, methods, concepts and models related to business intelligence
Skills
Candidates:
- Can design multidimensional data models
- Are able to build analysis models in a BI system (eg Tableau or Power BI)
- Can use BI tools to perform analyzes
General competence
Candidates:
- Can apply knowledge and skills in such a way that he/she can play an active role in the design of BI solutions in a specific business context
- Can communicate with ICT consultants about needs related to specific BI solutions
Learning methods and activities
Lessons, video and compulsory exercises
Compulsory assignments
- Mandatory assignments
Further on evaluation
Form of assessment: The final grade is set on the basis of two assessment elements. Both of these must be passed separately.
Written exam. Grade scale A-F. This counts for 60% of the total grade.
Project assignment counts for 40% of the grade
The re-sit exam for the school exam is in November/December. A re-sit exam can be arranged as an oral exam. Repetition of the project assignment takes place in a semester with teaching.
Specific conditions
Admission to a programme of study is required:
Information Technology (ITBAINFO)
Recommended previous knowledge
Basic knowledge of programming and databases
Course materials
Stated at the start of the semester
Credit reductions
Course code | Reduction | From |
---|---|---|
DIFT2009 | 7.5 sp | Autumn 2020 |
IBED1003 | 3 sp | Autumn 2020 |
IINI2012 | 3 sp | Autumn 2020 |
IFUD1117 | 3 sp | Autumn 2020 |
Subject areas
- Computer Science