Updated logos in introduction

Author: Abhijnan03

books/index.md

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 # Introduction
 This jupyter-book provides python implementation for various concepts and algorithms related to **surrogate modeling** and **surrogate-based optimization**. 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 uisng open source codes. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732. 
 
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+![logos](images/logos.png)
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 ## Expected learning outcomes
 After going through this jupyter-book, the reader will:
 + Have gained basic knowledge of surrogate methods and algorithms