Lyudmila Sakhanenko (Instructor) - Grade Details
(with breakdown by course)
Lyudmila Sakhanenko - All Courses
Average Grade - 2.955
Median Grade - 3.5
Latest grades from Fall 2021
Lyudmila Sakhanenko - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| STT 961 | Average Grade - 3.972 Median Grade - 4.0 |
36 | Fall 2021 | |||
| STT 873 | Average Grade - 3.654 Median Grade - 4.0 |
13 | Fall 2015 | |||
| STT 442 | Average Grade - 3.148 Median Grade - 3.5 |
257 | Spring 2021 | |||
| STT 861 | Average Grade - 3.500 Median Grade - 3.5 |
23 | Fall 2016 | |||
| STT 997 | Average Grade - 4.000 Median Grade - 4.0 |
16 | Fall 2017 | |||
| STT 315 | Average Grade - 2.836 Median Grade - 3.0 |
1195 | Spring 2013 | |||
| STT 872 | Average Grade - 3.455 Median Grade - 4.0 |
11 | Spring 2014 | |||
| STT 990 | Average Grade - 4.000 Median Grade - 4.0 |
12 | Summer 2020 | |||
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STT 315 - Introduction to Probability and Statistics for Business
A first course in probability and statistics primarily for business majors. Data analysis, probability models, random variables, confidence intervals, and tests of hypotheses with business applications.
Average Grade - 2.836
Median Grade - 3.0
Latest grades from Spring 2013
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STT 442 - Probability and Statistics II: Statistics
Parameter estimation, sampling distributions, confidence intervals, hypothesis testing, simple and multiple regression, analysis of variance. Time series models, data analysis and forecasting
Average Grade - 3.148
Median Grade - 3.5
Latest grades from Spring 2021
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STT 861 - Theory of Probability and Statistics I
Probability models, random variables and vectors. Special distributions including exponential family. Expected values, covariance matrices, moment generating functions. Convergence in probability and distribution. Weak Law of Large Numbers and Lyapunov Central Limit Theorem.
Average Grade - 3.500
Median Grade - 3.5
Latest grades from Fall 2016
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STT 872 - Statistical Inference I
Statistical distributions, decision-theoretic formulation of estimation and testing of hypotheses, sufficiency, Rao-Blackwellization, admissibility, Bayes and minimax estimation, maximum likelihood estimation, inference based on order statistics, Neyman-Pearson Lemma and applications, multiple testing.
Average Grade - 3.455
Median Grade - 4.0
Latest grades from Spring 2014
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STT 873 - Statistical Learning and Data Mining
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.
Average Grade - 3.654
Median Grade - 4.0
Latest grades from Fall 2015
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STT 961 - Weak Convergence and Asymptotic Theory
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
Average Grade - 3.972
Median Grade - 4.0
Latest grades from Fall 2021
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STT 990 - Problems in Statistics and Probability
Individual study on an advanced topic in statistics or probability.
Average Grade - 4.000
Median Grade - 4.0
Latest grades from Summer 2020
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STT 997 - Advanced Topics in Statistics
Topics selected from non- and semi parametric statistics, multivariate analysis, time series analysis, Bayesian statistics, regression and kernel estimation, and other topics in advanced statistics.
Average Grade - 4.000
Median Grade - 4.0
Latest grades from Fall 2017
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