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>`

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

Videos will be added here after the lesson.

To ensure the privacy of participating students at online sessions, the videos will not be made publicly available in 2021.

.. 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=d6096aa6-2231-475f-96d8-acbc00b10b37
        :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=6c820ad6-8bb4-40ba-a7a1-acbc00b44635
        :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=4b2fc153-071c-4557-8f62-acbc00b7a348
        :width: 500px
        :align: left