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  1. Science
  2. Master Degree
  3. Data Science [FDS02Q - FDS01Q]
  4. Courses
  5. A.A. 2024-2025
  6. 2nd year
  1. Big Data in Behavioural Psychology
  2. Summary
Unità didattica Course full name
Big Data in Behavioural Psychology
Course ID number
2425-2-FDS01Q039-FDS01Q032M
Course summary SYLLABUS

Blocks

Back to Data Science Lab in Business and Marketing

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Obiettivi

Contenuti sintetici

Programma esteso

Prerequisiti

Modalità didattica

Materiale didattico

Periodo di erogazione dell'insegnamento

Modalità di verifica del profitto e valutazione

Orario di ricevimento

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Aims

The Data Scientist often works in a multidisciplinary environment, interacting with experts from various fields, including psychology. This lab aims to provide students with an overview of fundamental psychological concepts, theories, and methods, focusing on the use and analysis of Big Data. The lab promotes multidisciplinary interaction, equipping students to understand and utilize psychological insights effectively in data science contexts.

Contents

The lab will cover various aspects of behavioral prediction, attitudes, identity, language bias, and the prediction of psychological states and traits. Practical applications such as persuasive communication and psychological targeting will also be discussed.

Detailed program

Introduction to Big Data in Behavioral Psychology

  • Overview of the course
  • Review of traditional psychological methods
    Psychological Measurement and Tools
  • Fundamental psychometric concepts
  • Challenges of construct validity with Big Data
    Predicting Behaviors
  • Exploration of behavior prediction theories: Theory of Reasoned Action and Theory of Planned Behavior
  • Practical applications and case studies
    Attitudes: Theoretical Models and Measurements
  • Understanding attitudes and their measurement
  • Application of reflective and impulsive models
    Identity and Social Identity
  • Exploration of identity concepts
  • Analysis of social identity in psychology
    Language Bias
  • Examination of language biases in psychological research
  • Strategies to detect language bias
    Predicting Psychological States and Traits
  • Theoretical models of personality
  • Case studies examples
    Persuasion and Psychological Targeting
  • Persuasive communication for attitude change
  • Target communicatiion to personal characteristics

Prerequisites

None.

Teaching form

In-class lectures.
Lectures will be in English and will be recorded.
Access to these recordings is reserved to students that, for some valid reasons, cannot attend in-class lectures. Students interested in accessing recorded lectures should email the instructor.

Textbook and teaching resource

Lecturer's teaching notes.
Slides and scientific articles will be made available on elearning.

Semester

Second semester.

Assessment method

• Verification of the acquisition of laboratory concepts through a written exam with open and closed questions.
• Final project based on work in small groups. Note that each group member will submit their individual final written project and give an oral presentation based on this work (collective written projects or copy-pasting of projects among group members will not be allowed).
The written exam must earn at least a sufficient grade for the lab to be considered successfully attended. The grade will consist of the evaluation of the project.

Office hours

Individual appointments for office hours are available upon request. Students interested in scheduling an appointment should directly email the instructor.

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Key information

Field of research
M-PSI/03
ECTS
3
Term
Second semester
Activity type
Mandatory to be chosen
Course Length (Hours)
25
Degree Course Type
2-year Master Degreee
Language
English

Staff

    Teacher

  • Michela Vezzoli
    Michela Vezzoli

Enrolment methods

Manual enrolments
Self enrolment (Student)

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