Topic outline

  • General

    Digital Urban 2022 course is focusing on urban morphology. To keep things digitally enough we will use python coding language and Jupyter lab instead of any particular software. However there is no prerequisite for python know-how. This is NOT a python course per se.

    Schedule

    The course is learning-by-doing -type of course. Each monday is started by a zoom-lecture following personal hands-on-coding. Your final product is a working Jupyter notebook which can produce your spatial analysis on the data from the selected source.

    Weekly themes:

    • MON 17.1 Getting started with Jupyter in notebooks.csc.fi

    • MON 24.1 Getting familiar with data types in spatial world

    • MON 31.1 Use of data sources

    • MON 7.2 Analysis and visualization + mid-period view on your own notebook development

    • MON 14.2 Reproductibility

    • TUE 15.2-28.2 Submit your final notebook


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    • Final notebooks Assignment

      Digital Urban final notebook submission.

      1. Finalize your "data factory" using Jupyterlab in Digital urban instance in notebooks.csc.fi  Add #comment lines and/or markup-cells to explain the process. Add concluding remark of your analysis in the end as a markup-cell.  ..Remember to test run ALL the code (Run all under Run menu) to make sure that your factory is reproductible.

      2. Download you notebook (.ipynb -file) with possible external data folder + files which the notebook uses.

      3. Zip your file or files with possible folders and submit the zip-file here.

      **Notebooks will be uploaded back to the digital urban Jupiterlab for grading.**