Taking Chances with the Sciences
Faculteit  Science and Engineering 
Jaar  2021/22 
Vakcode  HCSE21505 
Vaknaam  Taking Chances with the Sciences 
Niveau(s)  bachelor 
Voertaal  Engels 
Periode  semester II a 
ECTS  5 
Rooster  Lectures: 2 hours per week (in the first two weeks: the practical’s are lectures). Computer practical: 2 hours per week 
Uitgebreide vaknaam  Taking Chances with the Sciences  
Leerdoelen  At the end of this course students are expected to be able:  to translate applied and realworld problems into graphical models;  to interpret graphical models w.r.t. their conditional independencyproperties;  to statistically model graphs;  to infer graphical models from realworld data. 

Omschrijving  Although graphical models, such as Bayesian networks, have recently become a very important and popular tool in the topical field of Systems Biology, these models are usually not discussed in classical Statistics courses. The aim of this course is that the students learn how to combine graph theory and probability theory to infer graphical models from realworld data. In the course we will focus on Bayesian networks, which can for example be used to infer gene regulatory networks and protein pathways in systems biology research. After a very brief introduction to typical biological applications, we will consider Bayesian networks from a statistical perspective. As Bayesian networks bring together graph theory and probability theory, we will first discuss various graph theoretical concepts, before we can start modelling graphs statistically. In this context we will also have to discuss the most important fundamentals of Bayesian Statistics. Finally, we will learn how to infer Bayesian networks from realworld data. Throughout the course we will use the statistical computing environment R to implement some of the discussed algorithms. Some more sophisticated R implementations will be made available. 

Uren per week  variabel  
Onderwijsvorm  Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T)  
Toetsvorm 
Opdracht (AST), Practisch werk (PR), Presentatie (P), Verslag (R)
((Each student can choose between two options. Either he/she is evaluated based on a written report or he/she can take an oral exam of about 20 minutes. In the oral exam it will be tested whether all the concepts have been sufficiently understood. The topics of the reports are relatively flexible. The student could for example analyze some data from his/her own field with Bayesian networks and then write a paper about the applied methods and results. Alternatively, the student could write a report on a specific topic or give an overview to Bayesian network methodology.)) 

Vaksoort  bachelor  
Coördinator  dr. H.J. van der Strate  
Docent(en)  prof. dr. M.A. Grzegorczyk  
Entreevoorwaarden  Open only for FSEstudents. Only available for students who have been accepted into the BA Honours College Programme. 

Opmerkingen  The following condition (Article 3.6 of the EAR, to be found in your Student Portal under Organizations) applies: “Except in the event of extraordinary circumstances, all Honours Programme course units have a 100% attendance requirement, which includes preparation for and active participation in the course units."  
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