STT 873 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Statistical Learning and Data Mining
Course Description: Statistical methods focusing on machine learning and data mining, modern regression and classification techniques, support vector machines, boosting, kernel methods and ensemble methods, clustering dimension reduction, manifold learning, and selected topics.
STT 873 - All Instructors
Average Grade - 3.871
Median Grade - 4.0
Latest grades from Fall 2025
STT 873 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Huan Lei | Average Grade - 3.848 Median Grade - 4.0 |
23 | Fall 2021 | |
| Lyudmila Sakhanenko | Average Grade - 3.850 Median Grade - 4.0 |
30 | Fall 2025 | |
| Yuying Xie | Average Grade - 3.941 Median Grade - 4.0 |
17 | Fall 2017 |
Huan Lei
Average Grade - 3.848
Median Grade - 4.0
Latest grades from Fall 2021
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Lyudmila Sakhanenko
Average Grade - 3.850
Median Grade - 4.0
Latest grades from Fall 2025
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Yuying Xie
Average Grade - 3.941
Median Grade - 4.0
Latest grades from Fall 2017
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