First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
Course unit
PS02103965, A.A. 2016/17

Information concerning the students who enrolled in A.Y. 2014/15

Information on the course unit
Degree course First cycle degree in
PS1082, Degree course structure A.Y. 2011/12, A.Y. 2016/17
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination ARTIFICIAL INTELLIGENCE
Department of reference Department of General Psychology
E-Learning website
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 can be chosen as Optional Course unit

Teacher in charge MARCO ZORZI M-PSI/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses M-PSI/01 General Psychology 6.0

Course unit organization
Period Second semester
Year 3rd Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 6.0 42 108.0 No turn

Start of activities 27/02/2017
End of activities 01/06/2017
Show course schedule 2019/20 Reg.2015 course timetable

Examination board
Board From To Members of the board
8 2019 31/01/2020 31/01/2020 AGRILLO CHRISTIAN (Presidente)
CUTINI SIMONE (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)
7 2019 01/10/2019 30/09/2020 ZORZI MARCO (Presidente)
CUTINI SIMONE (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)
6 2018-1 01/10/2018 30/09/2019 ZORZI MARCO (Presidente)
CUTINI SIMONE (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)
5 2017-1 01/10/2017 30/09/2018 ZORZI MARCO (Presidente)
CUTINI SIMONE (Membro Effettivo)
DI BONO MARIA GRAZIA (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)
4 2017 01/10/2016 30/09/2017 ZORZI MARCO (Presidente)
BONATO MARIO (Membro Effettivo)
CUTINI SIMONE (Membro Effettivo)
DI BONO MARIA GRAZIA (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)

Prerequisites: The topics discussed in the second part of the course are also covered, in a different way, in the courses “General Psychology” and “Neuropsychology”. Knowledge of the content of these courses is required an introduction to the study of connectionist models of cognition. Computer literacy is also required.
Target skills and knowledge: The course presents theory and practice of connectionist modelling with artificial neural network. The discussion of various types of neural networks and learning algorithms is followed by examples of application to the cognitive (neuro)sciences for modelling cognitive functions in both normal and pathological states.
Examination methods: Type of exam: written
Modality: multiple choice questions and open questions
Assessment criteria: The evaluation is based on the understanding of course topics and on the acquisition of the proposed concepts and methodologies
Course unit contents: Neural networks: basic elements. Learning algorithms. Simulation as a research method. Connectionist models of normal and impaired cognitive functions.
Planned learning activities and teaching methods: Teaching is based on frontal lectures covering the theory and practice classes on neural network modelling.
Additional notes about suggested reading: Other obligatory study material that will be available on the course Moodle (
- Slides of the lectures
- Zorzi M. (2006). “Dai neuroni al comportamento: La simulazione dei processi cognitivi con modelli generativi”. Sistemi Intelligenti, 18(1), pp. 115-124.
- Zorzi M. (2006) “L’approccio computazionale in psicologia cognitiva”. Giornale Italiano di Psicologia, 23(2), pp. 225-245.
Textbooks (and optional supplementary readings)
  • Zorzi M., Girotto V., Fondamenti di Psicologia Generale. Bologna: Il Mulino, 2004. capitolo 11 Cerca nel catalogo
  • Floreano D., Mattiussi C., Manuale sulle reti neurali. Bologna: Il Mulino, 2002. Il volume non è reperibile nelle librerie perchè fuori catalogo, ma per questo motivo può essere fotocopiato (vedi bibioteca di psicologia) Cerca nel catalogo