Anno Accademico 2018/2019
- Docente: Pier Luigi Martelli
- Crediti formativi: 4
- SSD: BIO/10
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Bioinformatics (cod. 8020)
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.
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 e valutazione 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