The main objective of the course is to provide students with the best practices to manage scientific data in an orderly fashion, conduct the moste simple and frequently used statistical test prepare graphs.
Basic statistical knowledge
Course contents summary
General presentation of the course
Introduction to Informatics
Algorthms and programming
Software, apps, netwoerks and internet
Wordpress e Limesurvey
Introduction to R and first exercises
Function, Vectors, Matrices and lists
Dataframes, data import from Excel
For loops, tapply and apply
Graphics with R
Statitistcal test with R
ANOVA and Regression with R
Online Lecture notes written by the teacher are available.
The course has a strong practical content. All students will use a computer and each lesson is a practical analysis of some real
biotecnoogy data guided by the teacher
Assessment methods and criteria
The learning will be assessed through a practical exam at the end of the course. Students will be asked to analyze real data and prepare summary graphs.
It will thus be verified both the ability to learn and the ability to learn application ("applied knowledge and understanding") and also the ability to present and communicate scientific data