Update documentation

Author: Abhijnan03

_sources/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. 
 
+<div style="width:100%; margin: auto;">
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+![logos](images/logos.png)
+</div>
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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

index.html

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   <section class="tex2jax_ignore mathjax_ignore" id="introduction">
 <h1>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h1>
 <p>This jupyter-book provides python implementation for various concepts and algorithms related to <strong>surrogate modeling</strong> and <strong>surrogate-based optimization</strong>. The jupyter-book has been created by the <strong>Computational Design (CODE) Laboratory</strong> led by <strong>Prof. Leifur Leifsson</strong> at <strong>Purdue University</strong>. 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.</p>
+<div style="width:100%; margin: auto;">
+<p><img alt="logos" src="_images/logos.png" /></p>
+</div>
 <section id="expected-learning-outcomes">
 <h2>Expected learning outcomes<a class="headerlink" href="#expected-learning-outcomes" title="Permalink to this heading">#</a></h2>
 <p>After going through this jupyter-book, the reader will:</p>