INFORMATION PROCESSING SYSTEMS
Learning outcomes of the course unit
Introduce to the student the use of modern information processing systems and make it able to autonomously produce models and data elaborations of increasing complexity.
basic knowledge of univariate statistics.
Course contents summary
The course will cover the use of various types of software, particularly developed for Statistics and numerical calculation, and the elaboration of clinical and biological data.
Introduction to R, Jasp, Jamovi,
Descriptive analysis. Exploring data with graphs.
Non-parametric methods and models.
Correlation and regression.
ANOVA, ANCOVA and Repeated measures ANOVA. Factor models.
Notes and material of the lessons.
Some hopefully useful texts:
1) Field A.P., Miles J., Field Z. "Discovering Statistics using R", ed. SAGE
2) Field A. "Discovering Statistics Using IBM SPSS" ed. SAGE
3) Davies T.M. "The Book of R. A first course in programming and statistics" ed. No Starch Press
Lectures with the aid of multimedia tools and practical exercises on the computer.
Assessment methods and criteria
The learning verification test will consist of the preparation of a database of clinical data and the production of an appropriate written report to be presented and discussed in the examination context.