Learning objectives
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 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 and prepare graphs.
Prerequisites
Basic statistical knowledge
Course unit content
General presentation of the course
Introduction to Informatics
Computer architecture
Algorthms and programming
Test
Software, apps, netwoerks and internet
Test
Word/Excel/Powerpoint
Test
Wordpress e Limesurvey
Test
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
Exam simulation
Full programme
See contens
Bibliography
Online Lecture notes written by the teacher are available.
Teaching methods
The course has a strong practical content. All students will use a computer and each lesson is a practical analysis of some real
biotecnology 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
Other information
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2030 agenda goals for sustainable development
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