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





Infectious Diseases in Low- and Middle-Income Countries DL (4587)
Coordinating lecturer:Prof. dr. Ziv SHKEDY 
Co-lecturer:Prof. dr. Niel HENS 
Member of the teaching team:dr. Rudradev SENGUPTA 

Credits: 3,0
Study load hours: 81
Period: N (3sp)

Language of instruction: English
Exam contract: not possible

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


Content

Screening tests, Randomisation, randomisation test, sensitivity analysis, confouders, hidden confounders, heterogeneity, modeling HIV / AIDS and survey methodlogy for HIV/AIDS, infectious diseases


Organisational and teaching methods
Organisational methods  
Lecture ✔  
Project ✔  


Evaluation

N (3,00sp)

Evaluation method
Written exam50 %
Oral exam50 %
Open questions✔
Presentation✔



Learning outcomes
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Master of Statistics and Data Science
  •  EC 

    • The student can handle scientific quantitative research questions, independently, effectively, creatively, and correctly using state-of-the-art design and analysis methodology and software.

  •  EC 

    • The student can critically appraise methodology and challenge proposals for and reported results of data analysis.

  •  EC 

    • The student can work in a multidisciplinary, intercultural, and international team.

  •  EC 

    • The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application.

  •  EC 

    • The student is an effective written and oral communicator, both within their own field as well as across disciplines.

  •  EC 

    • The student is capable of acquiring new knowledge.

  •  EC 

    • The student knows the international nature of the field of statistical science and data science.

  •  EC 

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

  •  EC 

    • The student routinely monitors his/her own learning process and adjusts and improves it accordingly.

 
Included in these programmesTolerance3
second year Quantitative Epidemiology - distance learning 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.