Infectious Diseases in Low- and Middle-Income Countries (4568)
  
Coordinating lecturer :Prof. dr. Ziv SHKEDY 
  
Co-lecturer :Prof. dr. Niel HENS 

Language of instruction : English
Credits: 3,0
  
Period: quarter 3 (3sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible
 
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

Quarter 3 (3,00sp)

Evaluation method
Oral exam100 %
Open questions✔
Presentation✔
Additional information Exam in two parts ; students need to prepare presentation + poster based on literature research

Second examination period

Evaluation second examination opportunity different from first examination opprt
No
 

Compulsory course material
 

Course notes will be made available on Blackboard. 


Learning outcomes
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 routinely monitors his/her own learning process and adjusts and improves it accordingly.

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
2nd year Master Quantitative Epidemiology J
2nd year Master Quantitative Epidemiology - icp J
Exchange Programme Statistics 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.