Program.md

@@ -47,3 +47,48 @@ Every one: researcher, engineer, student, with already knowledge in python progr
 This course is **not** an initiation to programming. You **must** have basic skills in Python (see  Prerequisites)
 
 This course is **not** an introduction to statistics. You have to know XXX
+
+## Program
+
+<table>
+  <thead>
+    <tr>
+       <th> Day </th>
+       <th> Topic </th>
+     </tr>
+   </thead>
+   <tbody>
+     <tr>
+       <td>Day 1</td>
+       <td>
+          <ul>
+             <li>use of <a href="https://jupyter.org/">jupyterlab</a> to produce comprehensive notebook</li>
+             <li>use of <a href="https://numpy.org/">numpy</a> library to manipulate numeric data</li>
+             <li>start to manipulate tabular data with <a href="https://pandas.pydata.org/">pandas</a></li>
+           </ul>
+       </td>
+     </tr>
+     <tr>
+       <td>Day 2</td>
+       <td>
+          <ul>
+            <li>continue with pandas</li>
+            <li>visualize data with <a href="https://matplotlib.org/">matplotlib</a> and <a href="https://seaborn.pydata.org/">seaborn</a></li>
+          </ul>
+        </td>  
+    </tr>
+     <tr>
+       <td>Day 3</td>
+       <td></td>
+     </tr>
+     <tr>
+       <td>Day 4</td>
+       <td></td>
+     </tr>
+     <tr>
+       <td>Day 5</td>
+       <td></td>
+     </tr>
+   </tbody>
+ 
+For all topics we will spend 50% of our time for the lectures 50% with practicals.
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