Jianliang Qian (Instructor) - Grade Details
(with breakdown by course)
Jianliang Qian - All Courses
Average Grade - 3.320
Median Grade - 3.5
Latest grades from Spring 2025
Jianliang Qian - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 820 | Average Grade - 3.852 Median Grade - 4.0 |
44 | Spring 2025 | |
| CMSE 823 | Average Grade - 3.823 Median Grade - 4.0 |
83 | Spring 2020 | |
| MTH 132 | Average Grade - 3.154 Median Grade - 3.5 |
677 | Spring 2025 | |
| MTH 314 | Average Grade - 3.393 Median Grade - 4.0 |
219 | Spring 2022 | |
| MTH 451 | Average Grade - 3.064 Median Grade - 3.5 |
39 | Fall 2015 | |
| MTH 850 | Average Grade - 3.775 Median Grade - 4.0 |
89 | Fall 2021 |
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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 - 3.852
Median Grade - 4.0
Latest grades from Spring 2025
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CMSE 823 - Numerical Linear Algebra
Methods in modern numerical linear algebra for solving linear systems, least squares problems, and eigenvalue problems. Efficiency and stability of algorithms in numerical linear algebra.
Average Grade - 3.823
Median Grade - 4.0
Latest grades from Spring 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 - 3.154
Median Grade - 3.5
Latest grades from Spring 2025
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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 - 3.393
Median Grade - 4.0
Latest grades from Spring 2022
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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 - 3.064
Median Grade - 3.5
Latest grades from Fall 2015
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MTH 850 - Numerical Analysis I
Convergence and error analysis of numerical methods in applied mathematics.
Average Grade - 3.775
Median Grade - 4.0
Latest grades from Fall 2021
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