Fiche de cours

Bioinformatics Algorithms - ED 24/Série 3

Faculté de gestion: Ecole doctorale (FBM-DOCT)

Responsable(s): Christophe Dessimoz, David Gfeller

Pas d'horaire défini.

Cours (optionnel)

Annuel

Langue(s) d'enseignement: anglais
Public: Oui
Crédits: 3.00

Objectif

The course aims at improving the student's programming skills by gaining a deep understanding of
some of the key algorithms in bioinformatics, with a special emphasis on sequence and graph
algorithms. Students will learn widely applicable concepts, such as asymptotic time complexity,
binary search, dynamic programming, hashing.
Practicals and home assignments are essential parts of the course.
The language of the course is Python, though the concepts covered in the course are applicable to
all computer languages.

Evaluation

Mandatory assessment: 20 min oral examination
Final test that will take place in summer exam session, 12.6 - 06.07-2019 (date will be provided during the course).

Exigences du cursus d'études

The course assumes familiarity with basic programming concepts (variable and
function declaration, arrays, for-loops, conditional statements, etc.). Algorithms are introduced from
a practical angle so the mathematical formalism is kept at a minimum.

Conditions d'octroi

Participation active attestée par le responsable.

Conditions d'accès

Inscription auprès de l'Ecole doctorale. Série 3