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MTH 483 (Course) - Grade Details
(with breakdown by semester)
Course Title: Mathematical Machine Learning
Course Description: Regression, clustering, dimension reduction, density estimation, anomaly detection, classification, and related methods (e.g., k-nearest neighbors, support vector machines, neural networks, decision trees, random forests), autoencoders, generative adversarial networks, and existing machine learning tools, training methods, and software.
MTH 483 - All Semesters
Average Grade - 3.611
Median Grade - 4.0
Latest grades from Spring 2026
MTH 483 - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2026 | Average Grade - 3.615 Median Grade - 4.0 |
39 |
| Spring 2025 | Average Grade - 3.607 Median Grade - 4.0 |
42 |