PSYC4101 · Psychology
Morrissey College of Arts & Sciences
This course is a practical introduction to the convergence between psychology, neuroscience, and artificial intelligence. Ideas from psychology and neuroscience have inspired the development of artificial neural networks. Their current instantiations, deep neural networks, are having a profound impact on computer science and society, but also on the study of the brain and cognition. This course starts with a brief introduction to the roots of artificial intelligence in psychology and neuroscience, followed by a brief, accessible introduction to the mathematical foundations of deep neural networks. In the remainder of the course, students will learn to use python and pytorch and will work in groups to implement and train deep neural networks to build models of behavior or of the brain. Prior experience with computer programming is highly recommended; students with no experience in programming are encouraged to meet the instructor before enrolling.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.5 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.7 / 5
How necessary attendance was
Assignments
4.7 / 5
How helpful assignments were
Weekly effort
~3
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect the evaluations connected to this course.
Across time
Available section-level results across semesters.
Fall 2024
1 sectionFall 2023
1 sectionFall 2022
1 section