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

Language of instruction : English
Credits: 6,0
  
Period: semester 1 (0sp) semester 2 (6sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible
 
Sequentiality
 
   Mandatory sequentiality bound on the level of programme components
 
 
  Following programme components must have been included in your study programme in a previous education period
    Business statistics (1738) 6.0 stptn
 
   Advising sequentiality bound on the level of programme components
 
 
  Following programme components are advised to also be included in your study programme up till now.
    Econometrics (1543) 6.0 stptn
 

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


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 year✔
Conditions transfer of partial marks within the academic yearif you passed
Paper✔
Oral evaluation during teaching period40 %
Transfer of partial marks within the academic year✔
Conditions transfer of partial marks within the academic yearif you passed
Open questions✔
Presentation✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No
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
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)

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
3rd Bachelor of Business Engineering 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.