Yingda Cheng (Instructor) - Grade Details
(with breakdown by course)
Yingda Cheng - All Courses
Average Grade - 2.719
Median Grade - 3.0
Latest grades from Spring 2023
Yingda Cheng - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| MTH 133 | Average Grade - 2.082 Median Grade - 2.0 |
1179 | Fall 2015 | |||
| MTH 132 | Average Grade - 2.816 Median Grade - 3.0 |
57 | Fall 2017 | |||
| CMSE 201 | Average Grade - 3.368 Median Grade - 4.0 |
754 | Spring 2023 | |||
| MTH 340 | Average Grade - 2.630 Median Grade - 3.5 |
23 | Fall 2019 | |||
| CMSE 202 | Average Grade - 3.750 Median Grade - 4.0 |
43 | Fall 2020 | |||
| MTH 451 | Average Grade - 3.700 Median Grade - 4.0 |
31 | Fall 2020 | |||
| MTH 314 | Average Grade - 3.372 Median Grade - 3.5 |
264 | Fall 2022 | |||
| MTH 851 | Average Grade - 3.672 Median Grade - 4.0 |
29 | Spring 2014 | |||
| MTH 852 | Average Grade - 3.500 Median Grade - 4.0 |
13 | Spring 2016 | |||
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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 - 3.368
Median Grade - 4.0
Latest grades from Spring 2023
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CMSE 202 - Computational Modeling and Data Analysis II
Standard methods and tools for computational modeling and data analysis using simulation techniques, data mining, and machine learning.
Average Grade - 3.750
Median Grade - 4.0
Latest grades from Fall 2020
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MTH 132 - Calculus I
Limits, continuous functions, derivatives and their applications. Integrals and the fundamental theorem of calculus.
Average Grade - 2.816
Median Grade - 3.0
Latest grades from Fall 2017
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MTH 133 - Calculus II
Applications of the integral and methods of integration. Improper integrals. Polar coordinates and parametric curves. Sequences and series. Power series.
Average Grade - 2.082
Median Grade - 2.0
Latest grades from Fall 2015
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MTH 314 - Matrix Algebra with Computational Applications
Numerical methods in linear algebra with applications to systems of equations and eigenvalue problems, and geometry.
Average Grade - 3.372
Median Grade - 3.5
Latest grades from Fall 2022
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MTH 340 - Ordinary Differential Equations I
Techniques for solving differential equations, existence and uniqueness theorems, qualitative theory, Fourier series and applications.
Average Grade - 2.630
Median Grade - 3.5
Latest grades from Fall 2019
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MTH 451 - Numerical Analysis I
Numerical solution of linear and nonlinear algebraic equations and eigenvalue problems. Curve fitting. Interpolation theory. Numerical integration, differentiation, and solution of differential equations. Algorithms implementation with a programming language like Fortran, C/C++ or MATLAB.
Average Grade - 3.700
Median Grade - 4.0
Latest grades from Fall 2020
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MTH 851 - Numerical Analysis II
Spectral methods for boundary value problems, eigenvalue problems, and time-dependent problems. Trigonometric and Chebyshev polynomials. Fast Fourier transforms.
Average Grade - 3.672
Median Grade - 4.0
Latest grades from Spring 2014
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MTH 852 - Numerical Methods for Ordinary Differential Equations
Linear multi-step methods and single step nonlinear methods for initial value problems. Consistency, stability and convergence. Finite difference, finite element, shooting methods for boundary value problems.
Average Grade - 3.500
Median Grade - 4.0
Latest grades from Spring 2016
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