Master
2022/2023
Emotion and Cognition
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Cognitive Sciences and Technologies: From Neuron to Cognition)
Area of studies:
Psychology
Delivered by:
School of Psychology
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Dmitry Lyusin
Master’s programme:
Cognitive Sciences and Technologies: From Neuron to Cognition
Language:
English
ECTS credits:
4
Contact hours:
48
Course Syllabus
Abstract
"Emotion and Cognition" is an elective course focusing the interactions between cognition and emotion designed for the Master’s Program "Cognitive sciences and technologies: From neuron to cognition". Cognitive studies of the last decades have revealed an important role of emotion in every aspect of human cognition. The rapid development of this field makes it necessary to know basic theories and main empirical evidence concerning the interplay between emotional and cognitive processes. The course starts with the brief introduction to the modern psychology of emotion followed by an overview of the research on interactions between cognition and emotion. The subsequent topics cover mood influence on cognitive processes including attention, thinking, decision making and judgment, role of emotion in memory, processing of emotional information, and emotion perception. The main issues of the research on emotion perception are discussed in the conclusion. The course "Emotion and Cognition" is a new and unique discipline within the educational programs of the National Research University Higher School of Economics. The course is based on the contemporary scientific research in cognitive science, emotion studies, and related areas. The course is essential in training competent specialist in the areas of cognitive sciences and technologies. The course implements several innovative teaching techniques including group discussions of the cutting-edge research in the field and the development of new experimental designs by students.
Learning Objectives
- Understand the principles the research on relationships between cognition and emotion and to show its connections with other branches of cognitive science covering such topics as (1) principal approaches to the understanding of human emotion, (2) most important evidence of the role of emotion in cognitive processes, and (3) main theoretical explanations of the interactions between cognition and emotion
Expected Learning Outcomes
- Know basic notions and definitions used in the studies of relationships between emotion and cognition. Know the main theoretical approaches to the conceptualization of human emotion.
- Know the basic experiments and evidence on mood influence on attention. Know the main theoretical accounts of the mood influence on attention.
- Know the basic experiments and evidence on mood influence on judgments. Know the main theoretical postulates of the affect-as-information theory.
- Know the basic experiments and evidence on mood influence on thinking and decision-making. Know the main theoretical accounts of the mood influence on thinking and decision-making.
- Know the basic experiments and evidence on relationships between mood and memory. Know the main theoretical accounts of the relationships between mood and memory.
- Know the basic phenomena of emotional information processing. Know the main theoretical accounts of the emotion congruency and incongruency effects
- Know the key methods used in the studies of relationships between emotion and cognition.
- Know the main direction in affective computing studies and applications
- Know the main theoretical approaches to the conceptualization of human emotion.
- Knowledge of the basics of psychometric and cognitive approaches to emotion perception and of the main theoretical ideas of emotional intelligence theories.
Course Contents
- Introduction to human emotions
- Mood influence on cognition: Methodological issues
- Mood influence on attention
- Mood influence on thinking and decision making
- Mood influence on judgment. Affect-as-information theory
- Memory and emotion
- Processing of emotional information. Emotion congruency and incongruency
- Perception of emotions. Emotional intelligence
- Affective computing
Assessment Elements
- Paper presentation
- In-class activity (discussion, answers to questions)
- Mid-term 1
- Mid-term test 2
- Exam
Interim Assessment
- 2022/2023 2nd moduleGfinal = 0.6 × (0.2 × Gpaper presentation + 0.3 × Gtest1 + 0.3 × Gtest2 + 0.2 × Gclass) + 0.4 × Gexam
Bibliography
Recommended Core Bibliography
- Handbook of Affective Sciences. Richard J. Davidson, Klaus R. Scherer, and H. Hill Goldsmith. Oxford University Press. 2002
- Handbook of Communication and Emotion. Edited by: Peter A. Andersen and Laura K. Guerrero. Academic Press. 1996
- The Cambridge Handbook of Cognitive Science. Keith Frankish and William Ramsey. Cambridge University Press. 2012
Recommended Additional Bibliography
- Niedenthal, P. M., & Ric, F. (2017). Psychology of Emotion (Vol. Second edition). New York, NY: Psychology Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1511095