Matthew John Hirn (Instructor) - Grade Details
(with breakdown by course)
Matthew John Hirn - All Courses
Average Grade - 3.119
Median Grade - 3.5
Latest grades from Fall 2021
Matthew John Hirn - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| MTH 414 | Average Grade - 1.979 Median Grade - 2.0 |
24 | Fall 2015 | |||
| CMSE 201 | Average Grade - 3.206 Median Grade - 3.5 |
34 | Fall 2018 | |||
| MTH 314 | Average Grade - 2.896 Median Grade - 3.5 |
212 | Fall 2021 | |||
| NSC 204 | Average Grade - 3.800 Median Grade - 4.0 |
21 | Spring 2016 | |||
| CMSE 820 | Average Grade - 3.620 Median Grade - 4.0 |
25 | Spring 2017 | |||
| CMSE 890 | Average Grade - 3.967 Median Grade - 4.0 |
45 | Spring 2021 | |||
| MTH 994 | Average Grade - 3.643 Median Grade - 3.5 |
14 | Spring 2020 | |||
Back to Overview for Matthew John Hirn
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 - 3.206
Median Grade - 3.5
Latest grades from Fall 2018
See detailed grade info for this course
Back to Overview for Matthew John Hirn
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 - 3.620
Median Grade - 4.0
Latest grades from Spring 2017
See detailed grade info for this course
Back to Overview for Matthew John Hirn
CMSE 890 - Selected Topics in Computational Mathematics, Science, and Engineering
Topics selected to supplement and enrich existing courses.
Average Grade - 3.967
Median Grade - 4.0
Latest grades from Spring 2021
See detailed grade info for this course
Back to Overview for Matthew John Hirn
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 - 2.896
Median Grade - 3.5
Latest grades from Fall 2021
See detailed grade info for this course
Back to Overview for Matthew John Hirn
MTH 414 - Linear Algebra II
Linear transformations on finite dimensional vector spaces. Invariant subspaces, rank, eigenvalues and eigenvectors. Canonical forms. Bilinear and multilinear forms.
Average Grade - 1.979
Median Grade - 2.0
Latest grades from Fall 2015
See detailed grade info for this course
Back to Overview for Matthew John Hirn
MTH 994 - Special Topics in Applied Mathematics
Advanced topics in applied mathematics.
Average Grade - 3.643
Median Grade - 3.5
Latest grades from Spring 2020
See detailed grade info for this course
Back to Overview for Matthew John Hirn
NSC 204 - Introduction to Computational Modeling
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 - 3.800
Median Grade - 4.0
Latest grades from Spring 2016
See detailed grade info for this course