course-details-portlet

INFT2006

Business Intelligence

Assessments and mandatory activities may be changed until September 20th.

Credits 7.5
Level Intermediate course, level II
Course start Spring 2026
Duration 1 semester
Language of instruction Norwegian
Location Trondheim
Examination arrangement Aggregate score

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)

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
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Computer Science

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Computer Science

Timetable

Timetable

Calendar view
List view
Show detailed timetable in TP Download .ics file iCal

Examination

Examination

Examination arrangement: Aggregate score
Grade: Letter grades

Re-sit examination - Autumn 2025

School exam
Weighting 60/100 Examination aids Code D Date 2025-11-20 Time 09:00 Duration 2 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL111 orange sone
1 candidate

Ordinary examination - Spring 2026

School exam
Weighting 60/100 Examination aids Code D Duration 2 hours Exam system Inspera Assessment Place and room Not specified yet.
Assignment
Weighting 40/100 Exam system Inspera Assessment

All about examinations at NTNU