First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
Course unit
PSM0014223, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
PS1842, Degree course structure A.Y. 2011/12, A.Y. 2018/19
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Number of ECTS credits allocated 2.0
Type of assessment Evaluation
Course unit English denomination COMPUTER USE
Department of reference Department of Developmental Psychology and Socialisation
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit CANNOT be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in PSYCHOLOGICAL SCIENCES AND TECHNIQUES

Teacher in charge EGIDIO ROBUSTO M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Other -- -- 2.0

Course unit organization
Period First semester
Year 1st Year
Teaching method distance e-learning

Type of hours Credits Teaching
Hours of
Individual study
Lecture 2.0 14 36.0 No turn

Start of activities 01/10/2018
End of activities 18/01/2019
Show course schedule 2019/20 Reg.2011 course timetable

Examination board
Board From To Members of the board
6 2018 01/10/2018 30/09/2019 ROBUSTO EGIDIO (Presidente)
ANSELMI PASQUALE (Membro Effettivo)
FINOS LIVIO (Membro Effettivo)
STEFANUTTI LUCA (Membro Effettivo)

Prerequisites: The topics of the course Elements of Computer Science and of statistical and methodological courses.
Target skills and knowledge: Thorough knowledge of the tools of automatic calculation is essential for any activity of study, research and professional. The course is aimed at learning the main techniques for analyzing data using a spreadsheet.
Examination methods: The exam consists of a series of exercises to be performed at the computer.
Assessment criteria: It will be evaluated in particular the ability to apply acquired knowledge to practical cases.
Course unit contents: The training module focuses on the analysis of data using the software MS-Excel. In particular, on the following topics: Guide to Excel, folders, spreadsheets and graphs; text file opening, page setup and printing, graphs (bar, pie, line); analysis with univariate and categorical data, analysis with bivariate data (scatter plot, correlation, covariance, correlation between multiple variables), probability distributions (binomial, normal, t, F), sampling and simulation, inference procedures for the mean of one sample and two samples; chi-square test, analysis of variance, linear regression.
Planned learning activities and teaching methods: Video lectures and practical exercises.
Additional notes about suggested reading: //
Textbooks (and optional supplementary readings)
  • Giuliani D., Dickson M. M., Analisi statistica con Excel. Santarcangelo di Romagna (RN): Maggioli Editore, 2015. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Use of online videos
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • One Note (digital ink)
  • Kaltura (desktop video shooting, file loading on MyMedia Unipd)
  • Camtasia (video editing)
  • Latex
  • Matlab

Sustainable Development Goals (SDGs)
Quality Education