Lesson overview
===============

In the third week, we will learn about:

- :doc:`Sustainable cities and mobilities <mobilities>`
- :doc:`Mobility analytics <trajectory-data-mining>`
- :doc:`Tutorial: Trajectory data mining in Python <mobility-analytics>`
..      - :doc:`Exercise 3 <exercise-3>`

Lesson videos
-------------

.. admonition:: Lesson 3.1 - Sustainable cities and urban challenges

   Aalto University students can access the video by clicking the image below (requires login):

   .. figure:: img/SDS4SD_Lesson_3.1.png
       :target: https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=5384bd0f-841c-4189-aa8e-af930120033c
       :width: 500px
       :align: left


.. admonition:: Lesson 3.2 - Sustainable Mobility, Mobility analytics & Tutorial 3

   Aalto University students can access the video by clicking the image below (requires login):

   .. figure:: img/SDS4SD_Lesson_3.2.png
       :target: https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=15812435-ffde-4a3a-9ace-af94011ec013
       :width: 500px
       :align: left

.. admonition:: Lesson 3.3 - Visualizing data with KeplerGl; Creating an animation based on movements

    Aalto University students can access the video by clicking the image below (requires login):

    .. figure:: img/SDS4SD_Lesson_3.3.png
        :target: https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a7552d81-df57-45e1-afb3-af990091b126
        :width: 500px
        :align: left