Psychology

Introduce students to the theories, applications, and specific methods commonly used in social psychophysiology, with a particular emphasis on understanding relevant physiological systems, their measurement, study design considerations, and data processing. We will cover both traditional and more recent measurement approaches.

This course will provide a practical introduction to classic and modern Bayesian methods, with an emphasis on applications in social sciences. Bayesian estimation for several widely used models in psychology will also be discussed.

Machine learning and data mining are among the topics that are very demanded nowadays. They can be used to extract knowledge from multivariate datasets, to transform unstructured data into analyzable datasets, and to make extremely accurate and stable predictions. The present course will be an introductory, hands-on course, covering a number of basic techniques and methods used in the fields of machine learning and data mining, using R.

This course is designed to introduce you to the concepts of item response theory (IRT) models and their application to substantive psychological problems in measurement, such as test and scale design and analysis. Prerequisite: Undergraduates must have taken Psyc 3005 and 3006 OR 4005 and 4006. Grads must have taken Psyc 7710. Instructor consent required.

Longitudinal data analytical techniques will be introduced to investigate sustainability issues.

This course covers R programming, linear models focused on analyzing COVID-19 data and advanced regression analytical tools applied to understanding COVID-19-related effects on well-being.  Students will learn how to produce visualization plots of data with RStudio and Shiny Apps.  Group work entails creating a data analysis report summarizing their empirical findings. Prerequisites: Intro statistics course and any R statistical software course.

This seminar provides an overview of the cognitive perspective in accounting for thought (e.g., varieties of representation) as well as particular cognitive processes (e.g., attention, memory).

This course explores various issues in the merging field of well-being research. It is designed to expose you to different research perspectives, methodologies, and most recent developments in the area. Topics covered in this course include conceputal issues in well-being research, measurement judgmental proceses, goals and values, adaptation, close relationships, culture, psychophysiolgical temperaments, and personality.

This class provides a hands-on introduction to applied data science in Psychology and Neuroscience with Python. Students will learn to design and code experiments, collect and process data, and analyze and visualize results, all with freely-available, cross-platform, open-source Python libraries. Advanced topics will include applications of optimization, machine learning, and statistics libraries.

The goal is to provide students with foundations in genetics, molecular biology, and cell biology that are necessary and helpful for research in quantitative neurobiology of behavior. It will be team-taught by faculty in the IDF cluster. Each faculty member will lead lectures/discussions on topics of their expertise. A special emphasis will be placed on introducing the molecular and genetic methods that are used in modern neuroscience research.

The goal is to provide students with foundations in circuit, systems, and behavioral neuroscience that are necessary and helpful for research in neuroscience. It will be team-taught by faculty, each of whom will lead 1-2 week modules with lectures and discussions on topics of their expertise. A special emphasis will be placed on introducing the physiological and behavioral methods used in modern neuroscience research.

This course explores the developing mind from birth to age three, focusing on biological, cognitive, social, and emotional factors. Emphasis is on contemporary research methods and findings and their implications and application.

This course has a two-fold purpose. First, it is designed to provide a working introduction to the ethical issues, principles, and techniques of psychotherapy and supervision. Second, will explore psychology's history and development and then investigate the role of History and Systems on our current psychotherapy.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.

This course has a two-fold purpose. First, it is designed to provide a working introduction to the ethical issues, principles, and techniques of psychotherapy and supervision. Second, will explore psychology's history and development and then investigate the role of History and Systems on our current psychotherapy.

An overview of psychotherapy process and outcome research, ethnicity issues in psychotherapy and ethical considerations. Begins the survey of adult psychotherapy. Emphasizes a problem-focused, rather than a treatment-focused perspective. Three lecture hours, practicum in supervised intervention. Prerequisite: Instructor permission.

Topics include strategies of assessment, issues of reliability and validity, test construction; theory and practice of individual, couple, family, and community assessment techniques, including testing, interviewing, observation; and assessment research. Three lecture hours, two lab hours. Prerequisite: Instructor permission.

Topics include strategies of assessment, issues of reliability and validity, test construction; theory and practice of individual, couple, family, and community assessment techniques, including testing, interviewing, observation; and assessment research. Three lecture hours, two lab hours. Prerequisite: Instructor permission.

Concludes the problem-focused survey of adult psychotherapy. Provides a survey of therapy focused on relationship issues in the family, including couples therapy, divorce issues, and especially, child and family therapy. Three lecture hours, practicum in supervised intervention. Prerequisite: Instructor permission.