COMPUTER SCIENCE
cod. 12942

Academic year 2017/18
1° year of course - Second semester
Professor
Michela ZEDDA
Academic discipline
Informatica (INF/01)
Field
Inglese scientifico e abilità linguistiche, informatiche e relazionali, pedagogia medica, tecnologie avanzate e a distanza di informazione e comunicazione
Type of training activity
Characterising
60 hours
of face-to-face activities
5 credits
hub: -
course unit
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Integrated course unit module: BEHAVIOURAL SCIENCES AND SCIENTIFIC METHODOLOGY

Learning objectives

Knowledge and understanding:
essential knowledge of mathematical logic and related software.

Making judgements: basic.

Communication and learning skills:
properly express themselves with mathematical language.

The course aims to give the knowledge of the basic concepts for a precise and quick investigation of the resources in medical databases and understand the best way to their investigations.

Understanding data by carrying out statistical analysis of descriptive and inferential character.

Prerequisites

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Course unit content

-To provide the general knowledges of mathematical logic and statistics.

-To provide the general knowledges of computing.

The binary system and Boole’s logic operators. Bibliographic research in medicine: the use of the web resources. Key words employ in web investigation. How to refine a research.

-SPSS: Database, Main Statistical Indicators, Graphic Data Representation, Confidence Intervals, Significance Testing, Linear Regression.

Full programme

Logic: inference and propositions, truth tables, tautology, equivalence, quantifiers and connectives.
General knowledges of computing. Algorithm and flow chart.
Binary system and Boolean operators.
Medical database systems. Databases and the web.
Bibliographic research in medicine: the use of web resources. Key words employ in web investigation. Boole’s operators in database investigation.

Bibliography

Selected chapters of the following books:

-D. Palladino, Corso di logica. Introduzione elementare al calcolo dei predicati. Carocci editore

-Mari L., Buonanno G., Sciuto D., Informatica e cultura dell'informazione, McGraw-Hill, Milano, 2013.

-Snyder L., Amoroso A., Fluency - Conoscere e usare l'informatica, 6 ed. con Mylab, etext, Pearson, Milano, 2011.

-Martin Bland – Statistica medica – 2009 Apogeo Education.

-Luca Vanin – SPSS pratico – 2014 Raffaello Cortina Editore.

-Keith McCormick and Jesus Salcedo - SPSS Statistics For Dummies -John Wiley & Sons.

-Guida rapida di IBM SPSS Statistics - ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/it/client/Manuals/IBM_SPSS_Statistics_Brief_Guide.pdf

Teaching methods

Lectures, discussions and practical exercises on computer of several different topics.

Assessment methods and criteria

Written and pratical examination.

The trial will also evaluate the quality of student participation in class.

Other information

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2030 agenda goals for sustainable development

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