Course - Business Intelligence - INFT2006
Business Intelligence
Choose study yearAssessments and mandatory activities may be changed until September 20th.
About
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 assignments.
Compulsory assignments
- Mandatory assignments
Further on evaluation
Form of assessment: The final grade is set on the basis of the two evaluation elements. Both of these must be passed separately.
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