MAT 1630 Introduction to Computational Science, FA2019

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MAT 1630 Introduction to Computational Science, FA2019
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Professor(s)
Johann Thiel
Department
Mathematics
Course Code
MAT 1630
Semester / Year
Fall 2019
Course Description

A project-based introduction to computational thinking and problem solving. Covers a wide range of topics, including data visualization, statistical techniques, simulations of dynamical systems, computational techniques to understand data, using regression to fit models to data, as well as an introduction to some more advanced topics: Monte Carlo simulations, optimization, dynamic programming, image processing, natural language processing, geospatial data analysis and current data science.

Acknowledgements

This course was created by: Johann Thiel

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