- Docente: Pier Luigi Martelli
- Credits: 4
- SSD: BIO/10
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
Learning outcomes
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.
Course contents
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
Readings/Bibliography
Slides of the lectures
Reviews and web sites provided during the lectures
Teaching methods
Personal computer and overhead projector
Assessment methods
Written tests and a final examination.
Teaching tools
Lectures and practical sessions
Office hours
See the website of Pier Luigi Martelli