First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
Course unit
PSP4065487, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
PS1932, Degree course structure A.Y. 2017/18, A.Y. 2017/18
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination NEW CONCEPTS IN COGNITIVE PSYCHOLOGY
Department of reference Department of General Psychology
Mandatory attendance No
Language of instruction English
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 COGNITIVE NEUROSCIENCE AND CLINICAL NEUROPSYCHOLOGY (Ord. 2017)

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

Mode of delivery (when and how)
Period First semester
Year 1st Year
Teaching method frontal

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

Start of activities 09/10/2017
End of activities 12/01/2018

Prerequisites: Introductory knowledge about cognitive psychology and cognitive neuroscience methods.
Target skills and knowledge: The course presents an integrated approach to the study of cognition. Numerical cognition is used as a case study to show how multidisciplinary research spanning a variety of methods and subject populations offers a coherent and integrated path towards understanding how cognition is shaped by evolution, learning, and culture.
Examination methods: Type of examination: Written
Written examination: Open questions + paper assignment

Paper assignment
Each student will be required to write a 3-page essay (about 1000 words) that reviews and discusses some assigned scientific articles. The paper must be hand over on the day of the written exam. The grade given to the paper will weight for 1/3 of the final score.
Assessment criteria: Evaluation of student's learning outcome will be based on the understanding of the topics covered by the course in terms of concepts and methods.
Course unit contents: An integrated approach to cognition aims at bridging the gap between various levels of analysis (from neurons to behaviour) and exploits recent advances in the development of formal models. Numerical cognition is used as a case study to show how human cognition is shaped by evolution, learning, and culture.

Topics: animal cognition; cognitive development; neural bases of cognition; cultural effects on cognition; embodied cognition; computational modeling of cognition.
Planned learning activities and teaching methods: Teaching is based on frontal lectures and discussion of research articles (small group presentation). Attendance to lectures is compulsory and active involvement is promoted.
Additional notes about suggested reading: Reading material available on Moodle platform:
- Lectures slides
- Scientific articles
Agrillo et al (2012). PloS One, 7(2), e31923.
Ansari (2008). Nature Reviews Neuroscience, 9, 278-291.
Berteletti et al (2010). Numerical estimation in preschoolers. Developmental Psychology, 46, 545-551.
Brannon (2006). In: J. Campbell (Ed), Handbook of Mathematical Cognition (chapter 6, pp. 85-107).
Göbel et al (2011). Journal of Cross-Cultural Psychology, 42, 543-565.
Dehaene et al (2003). Cognitive Neuropsychology, 3, 487-506.
Feigenson et al (2004). Trends in Cognitive Sciences, 8, 307-314.
Halberda et al. (2008). Nature, 455, 665-668.
Hubbard et al (2005). Nature Reviews Neuroscience, 6, 435-448.
Nieder & Dehaene (2009). Annual Review of Neuroscience, 32,185–208.
Piazza et al (2010). Cognition, 116, 33-41.
Pica et al (2004). Science, 306, 499-503.
Stoianov & Zorzi (2012). Nature Neuroscience, 15, 194-196
Umiltà et al (2009). Experimental Brain Research, 192, 561-569.
Textbooks (and optional supplementary readings)