Saiprasad Ravishankar - Overview

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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 - 3.590
Median Grade - 4.0
474 total students

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 - 3.462
Median Grade - 4.0
211 total students

Latest grades from Spring 2024

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CMSE 382 - Optimization Methods in Data Science

Concepts, mathematical foundations, methods, and algorithms of optimization in data modeling, all applied to modeling real-world data.

Average Grade - 3.768
Median Grade - 4.0
28 total students

Latest grades from Spring 2025

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

Topics selected to supplement and enrich existing courses.

Average Grade - 3.880
Median Grade - 4.0
135 total students

Latest grades from Fall 2022

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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
219 total students

Latest grades from Spring 2022

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