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Musikinformatik SoSe2021
========================

Welcome to the course **Musikinformatik** of the `Robert Schumann Hochschule Düsseldorf <https://www.rsh-duesseldorf.de/>`_ for SoSe 2021.
The goal of this course is to introduce and learn common data analytic tools and machine learning algorithms for generating sounds.
It will not just take a look at the practical aspects of this endeavor but also discuss philosophical and mathematical aspects of
the discussed problems.

Within the course we will rely on the programming language `Python <https://www.python.org/>`_  - a high level scripting language -
which became a per-se standard for data analytics and machine learning over the last years.

We will also rely on the sound platform `SuperCollider <https://supercollider.github.io/>`_ for
generating sounds.

.. admonition:: Open for contributions!

   If one comes across any mistake or has an suggestion for any improvements - do not hesitate to contribute!
   The source code for this course is open source and can be reviewed and improved by anybody.
   See :ref:`Contribute`.

.. toctree::
   :maxdepth: 2
   :caption: Course information

   docs/course-info/setup.rst
   docs/course-info/contribute.rst
   docs/bib.rst

.. toctree::
   :maxdepth: 2
   :caption: Basics

   docs/basics/math.rst
   00_basics/sc_dimensions.ipynb
   docs/basics/python.rst
   00_basics/py_dimensions.ipynb
   00_basics/machine_learning.ipynb
   00_basics/neural_networks.ipynb
   00_basics/convolutions.ipynb
   00_basics/autoencoders.ipynb
   00_basics/lstm.ipynb
   00_basics/osc_communication.ipynb
   00_basics/compose.ipynb

.. toctree::
   :maxdepth: 2
   :caption: Using Python to synthesize sound

   01_spect_resynth/canvas.ipynb
   01_spect_resynth/02_spect.ipynb
   01_spect_resynth/03_nmf.ipynb
   01_spect_resynth/04_wavesets.ipynb

.. toctree::
   :maxdepth: 2
   :caption: Lesson 1

   01_midi_drums/01_midi_drums.ipynb