Yuying Xie (Instructor) - Grade Details
(with breakdown by course)
Yuying Xie - All Courses
Average Grade - 3.361
Median Grade - 4.0
Latest grades from Spring 2023
Yuying Xie - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 201 | Average Grade - 3.333 Median Grade - 4.0 |
726 | Fall 2022 | |
| STT 873 | Average Grade - 3.941 Median Grade - 4.0 |
17 | Fall 2017 | |
| CMSE 820 | Average Grade - 3.586 Median Grade - 3.5 |
71 | Fall 2019 | |
| PLB 843 | Average Grade - 4.000 Median Grade - 4.0 |
11 | Fall 2020 | |
| CMSE 381 | Average Grade - 3.503 Median Grade - 3.5 |
166 | Spring 2023 | |
| STT 441 | Average Grade - 3.129 Median Grade - 3.5 |
141 | Spring 2022 |
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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 - 3.333
Median Grade - 4.0
Latest grades from Fall 2022
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CMSE 381 - Fundamentals of Data Science Methods
Data science methods, including unsupervised learning and supervised learning, feature extraction, dimension reduction, clustering, regression and classification.
Average Grade - 3.503
Median Grade - 3.5
Latest grades from Spring 2023
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CMSE 820 - Mathematical Foundations of Data Science
Fundamental mathematical principles of data science that underlie the algorithms, processes, and methods of data-centric thinking, and tools based on these principles.
Average Grade - 3.586
Median Grade - 3.5
Latest grades from Fall 2019
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PLB 843 - Forum in Computational and Plant Sciences
Professional development focused on diverse modes of communication in support of interdisciplinary science with an emphasis on plant and computational sciences.
Average Grade - 4.000
Median Grade - 4.0
Latest grades from Fall 2020
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STT 441 - Probability and Statistics I: Probability
Probability, conditional probability and independence. Random variables. Discrete, continuous, univariate, and multivariate distributions. Expectation and its properties, moment generating functions. Law of large numbers, central limit theorem.
Average Grade - 3.129
Median Grade - 3.5
Latest grades from Spring 2022
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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 - 3.941
Median Grade - 4.0
Latest grades from Fall 2017
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