Graduate Courses

See all current graduate courses offered in present and future semesters. For past courses that are currently not offered, please visit here


Graduate Program Courses

4 pts. N.Bolger 

Description: Methods of data analysis and mathematical modeling illustrated with examples from psychological research. 

[Download Bolger syllabus]

[Download Franks syllabus]

4pts. N. Bolger. 

Prerequisite: Graduate statistics course in ANOVA or General Linear Model, or instructor's permission. 

Description: A survey course in statistical methods for the analysis of repeated-measures data, including data from experimental and non-experimental studies. Surveys classical (e.g., MANOVA) and modern methods (e.g., Multilevel Models) for both continuous and categorical outcomes.

4 pts. N. Bolger 

Prerequisite: This course is open to grad students only. Instructor's permission is required for registration.

Description: Provides an introduction to the theory, methods, and analytic approaches behind psychophysiological methods such as skin conductance and impedance cardiography. The course will include both in-class discussions and hands-on laboratory experience collecting psychophysiological data, augmented with current and classic readings on the course topics. This course is aimed at graduate students in psychology or a related field.

[View syllabus]


4 pts.  L. Davachi & N. Kriegeskorte


Instructors’ permission, basic programming skills in Matlab or Python, and some background in at least one of the following three subjects: cognitive psychology, neuroscience, engineering. Enrollment will be limited to a maximum of 20 students. 


Students should also plan to register for GR6061 Human Brain Imaging for Cognitive Neuroscience Lab. 

Course description:

This course provides an introduction to the most widely used methods for measuring and analyzing human brain activity and their application in cognitive neuroscience, complemented by weekly hands-on interactive labs to deepen understanding, experience measurements, and explore analyses. 

[View Syllabus] - Spring 2020

3pts. N Kriegeskorte

Prerequisites:  This seminar requires the ability to program in Python and an understanding of linear algebra. If you are planning to take this course, but are not confident in either of these two areas, consider taking relevant courses in preparation (for example online courses). You should have Python and PyTorch installed on your laptop and have some experience programming in Python. You should also have some experience with Jupyter notebooks. Experience using PyTorch is not required. A final essential prerequisite is that you have looked at the textbook Dive into Deep Learning ( to get a sense of the volume and nature of the required reading and that you have read Chapter 1 (Introduction).

Course Description: This seminar will introduce both the concepts and practical implementation in PyTorch of neural networks and deep learning, with a focus on general principles and examples from vision.

[View Syllabus]-Fall 2021

3 pts. S. Woolley

Prerequisite: Instructor's permission. 

Description: How to write about and present scientific information in a clear and interesting way. We will use: 1) individualized writing projects; 2) oral presentations; and 3) concise books on good writing to develop skills for communicating scientific ideas, design, results and theory. 

[View syllabus]

C. Baldassano & A. Chang

3 Pts. 

Prerequisites: Instructor’s permission and basic programming proficiency (i.e., understanding of variables, functions, and text input/output, preferably in python and/or R). Enrollment will be limited to a maximum of 12 students, with priority given to Psychology graduate students and senior graduate students. 

Course description: This seminar provides a hands-on survey of recently-developed tools for reporting scientific results accurately, reproducibly, and collaboratively. 

[View Syllabus] - Fall 2019

3 pts. R. Silver

Prerequisite: This course is open to grad students only. Instructor's permission is required for registration.

While graduate school gives Ph.D. students extensive training in conducting research, there is much more to being a successful scientist than just collecting data. This course aims to provide graduate students with some of the training they’ll need to succeed as professional scientists. Topics may include how to serve as peer reviewers for professional journals, how to display and communicate results in ways different (professional and lay) audiences will understand, how to plan their career trajectories appropriately, how to identify potential mentors and sponsors, etc. Graduate students are often expected to glean this knowledge on their own; this course will explicitly teach students these professional-development skills.

1-3 pts.

Prerequisite: This course is open only to psychology graduate students. 

Description: The Practicum is designed with two complementary purposes in mind: to foster the development of graduate students as future teachers of psychology and to enhance their efforts as teaching assistants for our undergraduate program. The course draws on empirical research in our field – from social psychology, cognitive psychology, and neuroscience – to address such topics as: teaching goals and strategies, giving effective lectures in large classes, facilitating productive class discussions, creating and grading student assessments, fostering inclusive classroom environments, and reflective teaching. The Practicum emphasizes the practice of scientific teaching, approaching pedagogy with the methods and rigor of scientific research.

[View Syllabus] - Fall 2017 (C. Marvin)

[View Syllabus] - Fall 2023 (K. Fox- Glassman)

3 pts. C. Marvin

Prerequisite: The permission of the faculty member who will direct the teaching. 

Description: Participation in ongoing teaching. 
Note: Psychology graduate students register for this course each semester in which they have a teaching assistantship.

1-4 pts. J. Metcalfe.

Prerequisite: The permission of the departmental Director of Graduate Studies. 

Note: Psychology graduate students register for this course in both the Fall and Spring terms.


Graduate Research Seminars and Colloquim

3 pts. L. Davachi  (Fall 2021)

 J. Metcalfe

Prerequisite: This course is open only to psychology graduate students. 

Description: Weekly seminar of presentations and discussion of current topics in cognition. 

Note: This course may be repeated for additional credit.

3 pts. G. Downey

Description: Discussion of selected issues and topics in social and personality psychology.

*Old course number for the Monday Seminar Series

Fall: 1 pt. J. Metcalfe. M 12:10-2 PM. Room 200B Schermerhorn Hall.
Spring: 1 pt. J. Metcalfe. M 12:10-2 PM. Room 200B Schermerhorn Hall.

Prerequisite: The permission of one of the instructors. This course is open only to doctoral candidates.

3 pts. T. Higgins.

Prerequisite: Instructor's permission. 

Description: Advanced seminar on selected topics and issues in social cognition and social motivation. Emphasis on common languages (i.e., common nomethetic processes and idiographic contents) underlying social, personality, abnormal, and developmental psychology.

Fall & Spring: 1 pt. J. Metcalfe. M 12:10-2 PM. Room 200B Schermerhorn Hall.

Prerequisite: The permission of one of the instructors. This course is open only to doctoral candidates.

Fall, Spring: 0 pts. J. Metcalfe. W 4:10-6 PM. Room 614 Schermerhorn Hall.

Description: Members of the staff, graduate students, and outside speakers present current research.

Note: All graduate students are expected to attend the meetings of the seminar.