Huan Lei (Instructor) - Grade Details
(with breakdown by course)
Huan Lei - All Courses
Average Grade - 3.557
Median Grade - 4.0
Latest grades from Spring 2024
Huan Lei - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 801 | Average Grade - 3.848 Median Grade - 4.0 |
80 | Spring 2022 | |
| STT 873 | Average Grade - 3.848 Median Grade - 4.0 |
23 | Fall 2021 | |
| CMSE 201 | Average Grade - 3.512 Median Grade - 4.0 |
717 | Spring 2023 | |
| STT 430 | Average Grade - 3.297 Median Grade - 3.5 |
37 | Spring 2020 | |
| STT 380 | Average Grade - 3.766 Median Grade - 4.0 |
47 | Spring 2024 |
CMSE 201 - Computational Modeling and Data Analysis I
Computational modeling using a wide variety of applications examples. Algorithmic thinking, dataset manipulation, model building, data visualization, and numerical methods all implemented as programs.
Average Grade - 3.512
Median Grade - 4.0
Latest grades from Spring 2023
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CMSE 801 - Introduction to Computational Modeling and Data Analysis
Introduction to computational modeling using a wide variety of application examples. Algorithmic thinking and model building, data visualization, numerical methods, all implemented as programs. Command line interfaces. Scientific software development techniques including modular programming, testing, and version control.
Average Grade - 3.848
Median Grade - 4.0
Latest grades from Spring 2022
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STT 380 - Probability and Statistics for Data Science
Fundamental concepts and methods in probability and statistics from a data science perspective.
Average Grade - 3.766
Median Grade - 4.0
Latest grades from Spring 2024
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STT 430 - Introduction to Probability and Statistics
Calculus-based probability and statistics with applications. Discrete and continuous random variables and their expectations. Point and interval estimation, tests of hypotheses, and simple linear regression.
Average Grade - 3.297
Median Grade - 3.5
Latest grades from Spring 2020
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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 - 3.848
Median Grade - 4.0
Latest grades from Fall 2021
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