Program Overview

Course Overview

The course INFT2006, Business Intelligence, is an intermediate-level course that focuses on the concepts and methods of business intelligence systems. The course aims to provide students with knowledge and skills in designing and implementing business intelligence solutions.

Course Content

The course covers the following topics:

• Decision support and decision process
• Reasons for operating with business intelligence
• Data warehousing, reporting, and OLAP
• Dimensional modeling
• Business intelligence and analytics
• Data visualization

Learning Outcomes

Upon completing the course, students will have:

• Knowledge of the potential of business intelligence systems to support decision-making
• Insight into the components of a business intelligence solution
• Understanding of the challenges related to business intelligence
• Knowledge of principles, methods, concepts, and models related to business intelligence
• Skills in designing multidimensional data models and building analysis models in a business intelligence system
• Ability to apply knowledge and skills in designing business intelligence solutions in a specific business context
• Ability to communicate with ICT consultants about business intelligence needs

Learning Methods and Activities

The course includes:

• Lessons
• Video
• Compulsory assignments

Evaluation

The final grade is based on two evaluation elements, both of which must be passed separately. The re-sit exam for the school exam is in November/December, and 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 program of study is required, specifically the Information Technology program (ITBAINFO).

Recommended Previous Knowledge

Basic knowledge of programming and databases is recommended.

Course Materials

Course materials will be stated at the start of the semester.

Credit Reductions

The course has academic overlap with the following courses:

• DIFT2009 (7.5 credits)
• IBED1003 (3 credits)
• IINI2012 (3 credits)
• IFUD1117 (3 credits) If a student takes overlapping courses, they will receive a credit reduction in the course with the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject Areas

The course is classified under the subject area of Computer Science.

Examination

The examination arrangement is an aggregate score, with a letter grade. The ordinary examination consists of a school exam (60% weighting) and an assignment (40% weighting). The re-sit examination is in November/December, and the school exam can be arranged as an oral exam.