77904 - ELEMENTS OF COMPUTATIONAL BIOLOGY

Scheda insegnamento

Anno Accademico 2017/2018

Conoscenze e abilità da conseguire

At the end of the course the student will acquire the basic knowledge of computational methods necessary for analysing biological data in the omic era.

Programma/Contenuti

Prerequisites: Basic calculus.

Contents:
-) Basic concept of probability, joint probability, conditional probability.
-) Bayes' theorem.
-) Discrete probability distributions: Binomial, Poisson
-) Continuous probability distributions: Normal, Boltzmann, Student, Chi-square, Gumbel (Extreme value)
-) Mean, median, mode, variance. Biased and unbiased computation
-) p-value and E-value
-) Tests for statistical significance: Student, Fisher, Chi-square
-) Vectors and matrices: basic definitions and operations
-) Eigenvalues and Eigenvectors: applications to Principal Component Analysis


Testi/Bibliografia

Slides of the lectures
Reviews and web sites provided during the lectures

Metodi didattici

Personal computer and overhead projector

Modalità di verifica dell'apprendimento

Written tests and a final examination.

Strumenti a supporto della didattica

Lectures and practical sessions


Orario di ricevimento

Consulta il sito web di Pier Luigi Martelli