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





Quantitative Methods for Business Informatics (4847)

  
Coordinating lecturer :Prof. dr. Benoit DEPAIRE 


Language of instruction : English


Credits: 3,0
  
Period: semester 2 (3sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Sequentiality
 
   Advising sequentiality bound on the level of programme components
 
 
Group 484725
 
  Following programme components are advised to also be included in your study programme up till now.
    Advanced Mathematics 1 (1536) 6.0 stptn
 
   Advising sequentiality bound on the level of programme components
 
 
Group 484725
 
  Following programme components are advised to also be included in your study programme up till now.
    Advanced Mathematics 1 (1536) 6.0 stptn
 

Prerequisites

Students must be familiar with basic matrix operations such as matrix addition, subtraction, multiplication, transposing and invertion.



Content

This course provides an in-depth introduction to mathematical and computational techniques for data analysis in business informatics. The goal of the course is twofold. On the one hand, the course will familiarize students with technical scientific papers, discussing algorithms. On the other hand, students will learn the details of a selection of techniques to extract insights from data and enhance decision-making processes. 



Organisational and teaching methods
Organisational methods  
Lecture  
Small group session  


Evaluation

Semester 2 (3,00sp)

Evaluation method
Written exam100 %
Closed-book

Second examination period

Evaluation second examination opportunity different from first examination opprt
No


Learning outcomes
Bachelor of Business and Information Systems Engineering
  •  EC 
  • EC 13: The holder of the degree applies insights from business science and relevant supporting/related disciplines in the analysis of business and information technology problems. (Problem-solving capacity)

  •  EC 
  • EC 17: The holder of the degree uses IT applications and possesses the 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
2nd Bachelor of Business and Information Systems Engineering J
Exchange Programme Business Economics 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.