Concepts of Data Science (4425)
  
Coordinating lecturer:Prof. dr. Geert Jan BEX 
  
Member of the teaching team:Mevrouw Jolien BERCKMANS 

Language of instruction: English
Credits: 4,0
  
Period: semester 2 (4sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible
 
Sequentiality
No sequentiality


Content

In this course, we will touch upon different capita selecta of data science, ranging from helicopter-view topics such as wicked problems and ethics, to specific such as software carpentry.


Organisational and teaching methods
Organisational methods  
Lecture ✔  
Small group session ✔  


Evaluation

Semester 2 (4,00sp)

Evaluation method
Written evaluation during teaching period60 %
Paper✔
Written exam40 %
Paper✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No




Learning outcomes
Master of Statistics and Data Science
  •  EC 

    • The student knows the ethical, moral, legal, policy making, and privacy context of statistics and data science, and always acts accordingly.

     
  •  DC 

    • The student can apply basic principles regarding ethics and integrity to the fields of statistics and data science.

     
  •  DC 

    • The student can explain ethical issues and dilemmas within the fields of statistics and data science.

  •  EC 

    • The student knows the relevant stakeholders and understands the need for assertive and empathic interaction with them.

     
  •  DC 

    • The student can reflect on the role of the statistician and data scientist in the interaction with the stakeholders.

  •  EC 

    • The student knows the societal relevance of statistics and data science.

     
  •  DC 

    • The student can reflect on and explain the societal relevance of a task, particularly within the programme specialization

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Included in these programmesTolerance3
1st year Master Bioinformatics Y
1st year Master Biostatistics Y
1st year Master Data Science Y
1st year Quantitative Epidemiology Y
Exchange Programme Engineering Technology Y
Exchange Programme Statistics 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.