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
-------------

To ensure the privacy of participating students at online sessions, the videos will not be made publicly available this year.

.. admonition:: Lesson 3.1 - Sustainable cities and mobilities

    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=43e61612-8607-492a-8b98-ae2700f7d2d1
        :width: 500px
        :align: left


.. admonition:: Lesson 3.2 - Mobility analytics

    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=6f887be7-5d2f-426f-8954-ae280113c249
        :width: 500px
        :align: left

.. admonition:: Lesson 3.3 - Trajectory data mining in Python

    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=6fd43a85-d319-4127-8302-ae280113cad0
        :width: 500px
        :align: left