course-details-portlet

INFT2006 - Business Intelligence

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours E

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

Resit exam: December. May be given as alternatively oral exam.

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 To
DIFT2009 7.5 AUTUMN 2020
IBED1003 3.0 AUTUMN 2020
IINI2012 3.0 AUTUMN 2020
IFUD1117 3.0 AUTUMN 2020
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Computer Science
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn UTS School exam 100/100 E 2023-11-24 09:00 INSPERA
Room Building Number of candidates
Spring ORD School exam 100/100 E INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU