PSYC5595 · Psychology
Morrissey College of Arts & Sciences
Publishing high-impact research in Psychology and Neuroscience and being competitive on the job market increasingly benefits from having mathematical and computational skills and using state-of-the-art data analysis and modeling methods. In a dialogue with recent studies in Psychology and Neuroscience, this course introduces key mathematical foundations including linear algebra, multivariable calculus, and probability theory, as well as applications such as linear models, dimensionality reduction, clustering, Bayesian models, and artificial neural networks. Along with the theory, the course will involve implementing the methods and models in Python. Throughout the semester, students will be encouraged to think about how to apply the contents of the course to their own research.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.2 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
5.0 / 5
How necessary attendance was
Assignments
4.5 / 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 section