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Elizabeth Munch (Instructor) - Grade Details

(with breakdown by course)


Elizabeth Munch - All Courses

Average Grade - 3.501
Median Grade - 4.0
790 total students

Latest grades from Spring 2024

Elizabeth Munch - Overview

Course Number Grade Info Latest Grade Data
MTH 481 Average Grade - 2.983
Median Grade - 3.0
Fall 2018
MTH 132 Average Grade - 3.564
Median Grade - 4.0
Fall 2020
CMSE 890 Average Grade - 3.907
Median Grade - 4.0
Fall 2021
CMSE 381 Average Grade - 3.028
Median Grade - 3.5
Fall 2023
CMSE 201 Average Grade - 3.110
Median Grade - 3.0
Spring 2018
CMSE 801 Average Grade - 3.973
Median Grade - 4.0
Spring 2024
CMSE 802 Average Grade - 4.000
Median Grade - 4.0
Spring 2021

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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 - 3.110
Median Grade - 3.0
42 total students

Latest grades from Spring 2018

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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 - 3.028
Median Grade - 3.5
144 total students

Latest grades from Fall 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 - 3.973
Median Grade - 4.0
55 total students

Latest grades from Spring 2024

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CMSE 802 - Methods in Computational Modeling

Standard computational modeling methods and tools. Programming and code-management techniques.

Average Grade - 4.000
Median Grade - 4.0
12 total students

Latest grades from Spring 2021

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CMSE 890 - Selected Topics in Computational Mathematics, Science, and Engineering

Topics selected to supplement and enrich existing courses.

Average Grade - 3.907
Median Grade - 4.0
107 total students

Latest grades from Fall 2021

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MTH 132 - Calculus I

Limits, continuous functions, derivatives and their applications. Integrals and the fundamental theorem of calculus.

Average Grade - 3.564
Median Grade - 4.0
401 total students

Latest grades from Fall 2020

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MTH 481 - Discrete Mathematics I

Binomial and multinomial theorems. Graphs and digraphs, graph coloring. Generating functions, asymptotic analysis, trees. Representing graphs in computers.

Average Grade - 2.983
Median Grade - 3.0
29 total students

Latest grades from Fall 2018

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