De elektronische studiegids voor het academiejaar 2025 - 2026 is onder voorbehoud.





Business intelligence (3522)

  
Coordinating lecturer :Prof. dr. Niels MARTIN 
  
Member of the teaching team :dr. Gert JANSSENSWILLEN 
 De heer Maxim RIEBUS 


Language of instruction : English


Credits: 6,0
  
Period: semester 1 (6sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible


 
Sequentiality
 
   No sequentiality
   Advising sequentiality bound on the level of programme components
 
 

Prerequisites
  • The student masters the programming language R
  • The student can achieve a balanced division of tasks within a team


Content

Business Intelligence encompasses the technologies, processes, and tools that organizations use to collect, analyze, and visualize data in order to support better decision-making. It involves transforming raw data into actionable insights through reporting, dashboards, and data analytics. Business Intelligence plays a critical role in identifying trends, monitoring performance, and guiding strategic planning across industries.

In this course, students will explore the foundational concepts and techniques of Business Intelligence. They will learn how to store unstructured and structured data, convert them into meaningful reports and business insights. As part of the course, students will design and develop a Business Intelligence application that demonstrates their ability to apply these principles in a practical context.



Organisational and teaching methods
Organisational methods  
Lecture  
Small group session  
Teaching methods  
Exercises  
Group work  
Presentation  


Evaluation

Period 1    Credits 6,00

Evaluation method
Written evaluaton during teaching periode35 %
Transfer of partial marks within the academic year
Conditions transfer of partial marks within the academic yearOnly if the student has passed the project (which includes the written evaluation during the teaching period and the oral evaluation during the teaching period), this partial mark can be retained in the academic year. In that case, the partial mark will be retained automatically, unless the student waives it in writing to the coordinating lecturer within 7 calendar days after the announcement of the exam results.
Oral evaluation during teaching period15 %
Transfer of partial marks within the academic year
Conditions transfer of partial marks within the academic yearOnly if the student has passed the project (which includes the written evaluation during the teaching period and the oral evaluation during the teaching period), this partial mark can be retained in the academic year. In that case, the partial mark will be retained automatically, unless the student waives it in writing to the coordinating lecturer within 7 calendar days after the announcement of the exam results.
Written exam50 %
Open questions
Evaluation conditions (participation and/or pass)
Conditions Students can only pass the course if they have participated in all parts of the evaluation.
Consequences Failure to participate in any part of the evaluation results in an unwarranted absence for the entire course.
Additional information
  • This course uses peer evaluation to gain insight into group functioning during the project (mandatory participation). The results of the peer evaluation may lead to a differentiation in the scoring of individual team members according to the contribution made.
  • The partial mark of the written exam cannot be transferred within the academic year.

Second examination period

Evaluation second examination opportunity different from first examination opprt
Yes
Explanation (English)In the second examination opportunity, a project has a weight of 50% in the total score. If the score of the project from the first examination opportunity was retained, this score (based on the written evaluation during the teaching period and the oral evaluation during the teaching period) is carried over and no new project is required. If the score of the project from the first examination opportunity was not retained, a new project is defined. A written examination (closed book) has a weight of 50% in the total score of the second examination opportunity.
 

Compulsory course material
 

References to the study material will be made available on Blackboard



Learning outcomes
Master of Business and Information Systems Engineering
  •  EC 
  • EC 04: The holder of the degree works in a diverse team and displays leadership skills with a multidisciplinary approach to a business problem. (Teamwork)

  •  EC 
  • EC 14: The holder of the degree models, designs and evaluates solutions for business and IT problems to support decision-making at different levels in a complex context. (Problem-solving capacity)

  •  EC 
  • EC 16: The holder of the degree uses data science and IT to design decision support systems that provide useful insights with which the quality of decisions can be improved. (Programme-specific competencies)

 

Master of Business Engineering
  •  EC 
  • EC 14: The holder of the degree models, designs and evaluates solutions for financial and technical business problems to support decision-making at different levels in a complex context. (Problem-solving capacity)

  •  EC 
  • EC 16: The holder of the degree uses IT applications and basic programming skills to translate financial and technical business data into business-relevant information. (Programme-specific competencies)

 

  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
1st Master of Business and Information Systems Engineering J
Exchange Programme Business Economics J
Master handelsingenieur in de beleidsinformatica jaar 1 verplicht J



1   Education, Examination and Legal Position Regulations art.12.2, section 2.
2   Education, Examination and Legal Position Regulations art.15.1, section 3.
3   Education, Examination and Legal Position Regulations art.16.9, section 2.