STT 961 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Weak Convergence and Asymptotic Theory
Course Description: Maximal inequalities, covering numbers, symmetrization technique, Glivenko-Cantelli Theorems, Donsker Theorems and some results for Gaussian processes, Vapnik-Chervonenkis classes of sets and functions, applications to M-estimators, bootstrap, delta-method
STT 961 - All Instructors
Average Grade - 3.941
Median Grade - 4.0
Latest grades from Fall 2025
STT 961 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Lyudmila Sakhanenko | Average Grade - 3.972 Median Grade - 4.0 |
36 | Fall 2021 | |
| V Mandrekar | Average Grade - 3.833 Median Grade - 4.0 |
12 | Fall 2017 | |
| Yimin Xiao | Average Grade - 3.955 Median Grade - 4.0 |
11 | Fall 2025 |
Lyudmila Sakhanenko
Average Grade - 3.972
Median Grade - 4.0
Latest grades from Fall 2021
See detailed grade info for this instructor
V Mandrekar
Average Grade - 3.833
Median Grade - 4.0
Latest grades from Fall 2017
See detailed grade info for this instructor
Yimin Xiao
Average Grade - 3.955
Median Grade - 4.0
Latest grades from Fall 2025
See detailed grade info for this instructor