De elektronische studiegids voor het academiejaar 2026 - 2027 is onder voorbehoud.





Bachelorproject HI (4549)
Coordinating lecturer:Prof. dr. Stephan BRUNS 
Member of the teaching team:Mevrouw Héloïse HULSTAERT 
 Mevrouw Trang DONG 

Credits: 6,0
Study load hours: 162
Period: semester 1 (0sp) semester 2 (6sp)

Language of instruction: English
Exam contract: not possible

2nd Chance Exam1: Yes
Final grade2: Numerical
Tolerance3: See included in these programmes
Sequentiality
No sequentiality


Prerequisites

Students can code in R (read in data, organization of data, implementation of statistical analyses, exporting results).

Students have good knowledge of basic econometrics (Linear regression model).

Mandatory sequentiality: Business statistics (1738) and Econometrics (1543) 


Content

Workflow of statistical analysis in R

Open science and ‘replication crisis’

Panel data, fixed effects and clustered standard errors

Replication and robustness analyses of a published article


Mandatory software
 

R and RStudio (most recent versions)


Organisational and teaching methods
Organisational methods  
Lecture ✔  
Project ✔  


Evaluation

Semester 2 (6,00sp)

Evaluation method
Written evaluation during teaching period60 %
Transfer of partial marks within the academic yearYes, with condition
Conditions transfer of partial marks within the academic yearif you passed
Paper✔
Oral evaluation during teaching period40 %
Transfer of partial marks within the academic yearYes, with condition
Conditions transfer of partial marks within the academic yearif you passed
Open questions✔
Presentation✔
Evaluation conditions (participation and/or pass)✔
Conditions

Both exam parts (1) report and (2) presentation/questions need to be passed.
Consequences

If one part is failed the end result for the whole course is maximum 9/20.

Second examination period

Evaluation second examination opportunity different from first examination opprt
Yes
Explanation (English)If a student has passed the replication report or the
presentation/questions in the first try he or she can only re-take
the part that he or she failed in.


Learning outcomes
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Bachelor of Business Engineering
  •  EC 

    • EC 01: The holder of the degree builds up knowledge autonomously with a view to lifelong learning. (Self-direction and entrepreneurial spirit)

  •  EC 

    • EC 02: The holder of the degree displays an entrepreneurial attitude. (Self-direction and entrepreneurial spirit)

  •  EC 

    • EC 07: The holder of the degree draws up a research plan under supervision. (Research skills)

  •  EC 

    • EC 08: The holder of the degree selects and implements scientific research methods under supervision. (Research skills)

  •  EC 

    • EC 09: The holder of the degree analyses, interprets, evaluates and reports research results under supervision. (Research skills)

  •  EC 

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

 
Included in these programmesTolerance3
3rd Bachelor of Business Engineering Y



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.