From 4c0f14285de2b1eddde2c968cf37c604924f9652 Mon Sep 17 00:00:00 2001
From: Oleksandr Zaitsev <olk.zaytsev@gmail.com>
Date: Sun, 23 Jun 2024 21:19:43 +0200
Subject: [PATCH] Updated the program

---
 website/program.html | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/website/program.html b/website/program.html
index 1b8bf1e..3cc5841 100644
--- a/website/program.html
+++ b/website/program.html
@@ -105,7 +105,7 @@ <h2>Day 1: Pharo in one Day</h2>
         in half of a postcard.</p>
 
       <ul>
-        <li>Pharo for the scientists</li>
+        <li>Basics of Pharo programming</li>
         <li>Discover and experience eXTreme Test Driven Design</li>
         <li>Hands-on with ProfStef</li>
         <li>Understand the key tools for coding, debugging, inspecting and
@@ -130,22 +130,22 @@ <h2>Day 2: Crafting user interfaces</h2>
         <li>Revisit the syntax building a web server</li>
       </ul>
 
-      <h2>Day 3: AI with Pharo</h2>
+      <h2>Day 3: Scientific computing in Pharo</h2>
 
-      <p>During that day we will focus on AI and visualization. You will learn
-        about DataFrame (how to grab, and collect data), train a model and
-        validate your results. We will show how you can understand your data
-        and results using the <a href="http://agilevisualization.com"
-        target="_blank" rel="noopener">Roassal</a> scripting visualization
-        engine.</p>
+      <p>During this day we will focus on scientific computing tools in Pharo 
+        and explore their live object-oriented aspects. You will learn libraries
+        such as DataFrame, PolyMath, Pharo-AI, and Cormas. We will also show how
+        you can create live interactive data visualizations using 
+        <a href="http://agilevisualization.com" target="_blank" rel="noopener"
+        >Roassal</a> visualization engine.</p>
 
       <ul>
-        <li>Getting started with machine learning</li>
+        <li>Pharo for the scientists</li>
+        <li>Data analysis with Data Frame</li>
+        <li>Machine learning with Pharo-AI</li>
         <li>TeaLight and machine learning: you will connect a web server to
           machine learning</li>
-        <li>Data Frame</li>
-        <li>Train a model</li>
-        <li>Validate a model</li>
+        <li>Agent-based modelling with Cormas</li>
         <li>Using live visualization scripting of
           <a href="http://agilevisualization.com" target="_blank"
           rel="noopener">Roassal</a> to script interactive visualization</li>