SCIENZE E TECNICHE APPLICATE ALLA RIABILITAZIONE

8 CFU - 1° Semester

Teaching Staff

GIOACCHINO GAUDIOSO - Module SCIENZE INFERMIERISTICHE E TECNICHE NEURO-PSICHIATRICHE E RIABILITATIVE - MED/48 - 2 CFU
SALVATORE GIUSTINIANI - Module STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA - SECS-S/02 - 2 CFU
SALVATORE GIUSTINIANI - Module BIOINGEGNERIA ELETTRONICA E INFORMATICA - ING-INF/06 - 2 CFU
LAURA ROSA MARIA SCRIMALI - Module Ricerca Operativa - MAT/09 - 2 CFU

Learning Objectives

STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA
The objective of the course is to provide an appropriate knowledge of the foundations and the methodologies of the statistics that are useful for understanding, describe and interpret the phenomena. The student will then have to acquire the ability to: Organize Data into sets that can be analyzed and clinically significant; synthesize them; analyze them; draw conclusions in order to obtain the correct information on the phenomenon under study. Knowing how to use the statistical calculation for the comparison of two or more groups
Ricerca Operativa
The course aims at presenting the basic concepts and methods of linear programming. The course provides students with the analytic tools to model and to foresee situations in which a single decision-maker must find the best choice. At the end of the course, the students will be able to formulate mathematically linear programming problems in healthcare, solve numerically the problems, and realize what the optimal choice is.

The goals of the course are:

1. to acquire base knowledge that allows students to study linear programming problems and model techniques of the decision-making problems.
2. to identify and model real-life linear programming problems.
3. to choose and solve autonomously linear programming problems and to interpret the solutions.
4. to acquire base communication and reading skills using technical language.
5. to provide students with theoretical and practical methodologies and skills to deal with linear programming problems.

Course Structure

STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA
Frontal lessons with the active participation of the students in the resolution of problems, tutorials
Ricerca Operativa
There will be classroom lessons and exercises.

Detailed Course Content

STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA
Probability

Foundations and rules Bayes',

theorem Binomial distributions and normal Central Limit,

Theorem Inferential Statistics Population and samples

Estimation of the parameters pointwise and range Test the hypothesis parametric and non-parametric

Verification of hypotheses for media and frequency

Student's t-test

Test The Fischer-Snedecor

test ANOVA

Test six sigma
Ricerca Operativa
LINEAR PROGRAMMING

Linear programming models. Graphical method. Primal simplex method.

INTEGER PROGRAMMING

Interger programming models. Branch and Bound method in integer programming, Knapsack problem.

EXCEL FOR LINEAR PROGRAMMING PROBLEMS

APPLICATIONS TO HEALTHCARE

Textbook Information

STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA
Triola M. M. e Triola M. (2009), Statistica per le discipline biosanitarie, Pearson Addison Wesley, Milano.

Corazzo F. P. e Perchinunno P. (2007), Analisi statistiche con Excel, Pearson Education, Milano.

Notes prepared by the teacher
Ricerca Operativa
F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, Mc Graw Hill.

Other teaching material will be available on the platform Studium.

Open in PDF format Versione in italiano