First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
COGNITIVE NEUROSCIENCE AND CLINICAL NEUROPSYCHOLOGY
Course unit
NEW CONCEPTS IN COGNITIVE PSYCHOLOGY
PSP4065487, A.A. 2018/19

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

Information on the course unit
Degree course Second cycle degree in
COGNITIVE NEUROSCIENCE AND CLINICAL NEUROPSYCHOLOGY
PS1932, Degree course structure A.Y. 2017/18, A.Y. 2018/19
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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
Branch PADOVA
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

Lecturers
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 First semester
Year 1st Year
Teaching method frontal

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

Calendar
Start of activities 01/10/2018
End of activities 18/01/2019

Examination board
Board From To Members of the board
5 2018-1 01/10/2018 30/09/2019 ZORZI MARCO (Presidente)
BONATO MARIO (Membro Effettivo)
CUTINI SIMONE (Membro Effettivo)
TESTOLIN ALBERTO (Membro Effettivo)
VALLESI ANTONINO (Membro Effettivo)

Syllabus
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 (duration: 1:30 h)
Written examination: Open questions (max 20 points) + paper assignment (max 10 points)
Paper assignment: Each student will be required to write an essay (3-4 pages, about 1500 words) that reviews and discusses one of the topics assigned during the course. The paper must be hand over on the day of the written exam.
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 with discussion of scientific findings from the most important studies on a given topic. Attendance to lectures is compulsory and active involvement of the students is encouraged.
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.
Brannon (2006). In: J. Campbell (Ed), Handbook of Mathematical Cognition (chapter 6, pp. 85-107).
Feigenson et al (2004). Trends in Cognitive Sciences, 8, 307-314.
Göbel et al (2011). Journal of Cross-Cultural Psychology, 42, 543-565.
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.
Pica et al (2004). Science, 306, 499-503.
Sella et al (2017). Cognition, 158, 56-67
Stoianov & Zorzi (2012). Nature Neuroscience, 15, 194-196
Umiltà et al (2009). Experimental Brain Research, 192, 561-569.
Zorzi et al (2013). Frontiers in Psychology, 4:515
Zorzi & Testolin (2018). Phil Trans Roy Soc B, 373:20170043.
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Problem based learning
  • Case study
  • Questioning
  • Use of online videos
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

Sustainable Development Goals (SDGs)
Quality Education