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





Introduction to Statistical Bioinformatics (9783)
Coordinating lecturer:Prof. dr. Ziv SHKEDY 

Credits: 6,0
Study load hours: 162
Period: 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


Content

The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; mass spectrometry; next generation sequencing; microbiome analysis.


Compulsory course material
 

Lecture notes, copies of papers/book chapters relevant for the lectures' topics.


Organisational and teaching methods
Organisational methods  
Lecture ✔  


Evaluation

Semester 2 (6,00sp)

Evaluation method
Written exam100 %
Closed-book ✔
Multiple-choice questions✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No


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

 
Included in these programmesTolerance3
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.