.. _week13:

Week 13 - 11/11
---------------

**Reading:**

    * 10. :ref:`PCA`

    * 11.1. :ref:`optimal`

    * 11.2. :ref:`interp`

    * 11.3. :ref:`differentiation`

    * 11.4. :ref:`integration`


**Video Lectures:**

    * `Section 10.2 PCA Data Clustering of Food - 2024
      <https://mediasite.k-state.edu/mediasite/Play/3a048af6cd1d4a49a89b380cc4a6a9881d>`_
      (10:01)

    * `Section 10.3 - PCA for Recognition - 2024
      <https://mediasite.k-state.edu/mediasite/Play/a8651a8610f841869a50387440c77ae91d>`_
      (6:44)

    * `Introduction to Numerical Methods <https://mediasite.k-state.edu/mediasite/Play/4b342839612b4eb78e84f2b59e11fe771d>`_
      (1:49)

    * `Section 11.1 - Numerical Optimization 
      <https://mediasite.k-state.edu/mediasite/Play/8957815a6e454708afc6d54466f53cda1d>`_
      (25:23)

    * `Section 11.2 - Data Interpolation - 2024 
      <https://mediasite.k-state.edu/mediasite/Play/a50a61dfa2d64f5ea5e6f6ce0295ead81d>`_
      (5:54)

    * `Section 11.3 - Numerical Derivatives - 2024
      <https://mediasite.k-state.edu/mediasite/Play/a50a61dfa2d64f5ea5e6f6ce0295ead81d>`_
      (9:52)

    * `Section 11.4 - Numerical Integration - 2024
      <https://mediasite.k-state.edu/mediasite/Play/c002ec88108244ac9b59d8f2e6833a671d>`_
      (22:09)

**Annotated notes:**

    * Singular Value Decomposition - :download:`notes/SVD.pdf`

    * Principal Component Analysis - :download:`notes/PCA.pdf`

    * PCA Data - :download:`notes/PCA_data.pdf`

**Assignments:**

    * :ref:`PCA_classify`
      
    * Video: `PCA Homework assignment
      <https://mediasite.k-state.edu/mediasite/Play/6c7a4518f52341ec911b428a4e50c6fb1d>`_
      (9:57)

    * Attendance Quizzes: AQ09_1, :ref:`AQweek13`