CSCI3387 · Computer Science
Morrissey College of Arts & Sciences
In this project based class, we will introduce several machine learning concepts, and illustrate and practice their use. These topics will, tentatively, include: classification, data processing, dimensionality reduction, model evaluation and tuning, ensemble learning, regression, clustering, multi layer artificial neural networks and their use for classification, regression, generative adversarial networks, and reinforcement learning.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
3.2 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
4.2 / 5
How necessary attendance was
Assignments
3.7 / 5
How helpful assignments were
Weekly effort
~5.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionFall 2024
1 sectionSpring 2024
1 sectionSpring 2023
1 section