Epidemiology, Biostatistics and Bioinformatics

Lectures (16 hours):
- Descriptive Statistics (2 hours);
- Hypothesis Testing in Statistics (2 hours);
- Inferential Statistics (2 hours)
- The Difference Between Sample Means and Inference of Population Results, t-Test (2 hours);
- Linear Regression and Hypothesis Testing with ANOVA (2 hours);
- Biological Databases (NCBI, Ensembl, UCSC Genome Browser) (2 hours)
- Bioinformatics Analysis Tools (2 hours)
- Analysis of Genomic Variation (2 hours)

Lab practices (8 hours):
Application of the topics covered in class to real datasets using RStudio and biological data analysis programs (plink).

Module: Molecular epidemiology
The course has the aim to supply the basic and fundamental information on molecular epidemiology including the specific aspects concerning phylogenesis and molecular evolution. Student knowledge on molecular epidemiology are needed to apply in an efficient way molecular methods.
Lectures will cover the following topics:
1.Biostatistics: principles and applications.
2. Epidemiology: principles and applications.
3.introduction to molecular epidemiology
4.Principles and practice of taxonomy methods and pathogen classification by molecular methods
5.Statistical methods in molecular evolution
6.Building phylogenetic threes
7. Principles and practice of experimental design and of epidemiological studies for both infectious and zoonotic diseases
8. Principles and practice for the epidemiological analysis of data obtained from experiments and from field studies on both infectious and zoonotic diseases