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# Introduction
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This jupyter-book provides python implementation for various concepts and algorithms related to **Surrogate Methods**. The jupyter-book has been created by the **Computational Design (CODE) Laboratory** led by **Prof. Leifur Leifsson** at **Purdue University**. This jupyter-book is intended to be used as a starting point for new users of surrogate methods to implement the concepts and algorithms for their own work. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732.
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![NSF logo](images/nsf_logo.png){heigh=10, width=10} ![CODE Lab logo](images/codelablogo.png){width=250}
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<img src="images/nsf_logo.png" height = "10" width="10" /> ![CODE Lab logo](images/codelablogo.png){width=250}
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## Expected learning outcomes
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After going through this jupyter-book, the reader will:

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