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	<img style="float: left; height: 50px;" src="hs_bochum_logo.png">
	<div style="float: right; text-align: right;">
		Fachbereich Wirtschaft <br/>
		Prof. Dr. Christian Bockermann
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<div style="clear: both;"></div>

<div class="title">
<h1>Data Science 1</h1>
<h2>Wintersemester 2021/2022</h2>
</div>
		
<div class="content">
<table class='vlog'>
  <tr>
    <th>Termin</th>
    <th>Datum</th>
    <th>Vorlesung</th>
    <th>Inhalt</th>
    <th>Folien</th>
    <th>&Uuml;bungsbl&auml;tter</th>
  </tr>

  <tr>
   <td class='termin'>1</td>
   <td class='datum'>05.10.2021</td>
   <td class='vorlesung'>Einf&uuml;hrung</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Organisatorisches</li>
      <li>Motivation Data Science / Use-Cases</li>
      <li>Themenfeld, ML, CRISP-DM Prozess</li>
      <li>Software, Tools</li>
      <li>Jupyter-Notebook Server</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-00.pdf'>Folien-00.pdf</a></li>
      <li><a href='Folien-01.pdf'>Folien-01.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt1.pdf'>DataScience-Blatt1.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>2</td>
   <td class='datum'>12.10.2021</td>
   <td class='vorlesung'>Python</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Kurze Wiederholung ML/Data Mining/Data Science</li>
      <li>Einstieg in Python, Jupyter-Notebooks</li>
      <li>Grundlegende Sprachkonstrukte</li>
      <li>Grundlegende Datentypen, Listen</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-02.pdf'>Folien-02.pdf</a></li>
      <li><a href='Vorlesung-2-Intro.pdf'>Vorlesung-2-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt2.pdf'>DataScience-Blatt2.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>3</td>
   <td class='datum'>19.10.2021</td>
   <td class='vorlesung'>Datenanalyse mit Pandas</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Kurze Wiederholung Python</li>
      <li>Vorstellung Pandas-Modul</li>
      <li>Konzepte von Series/DataFrame</li>
      <li>Rechnen/Filtern mit DataFrames</li>
      <li>Extra-Foliensatz zu group-by</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-03.pdf'>Folien-03.pdf</a></li>
      <li><a href='Folien-PandasGroupBy.pdf'>Folien-PandasGroupBy.pdf</a></li>
      <li><a href='Vorlesung-3-Intro.pdf'>Vorlesung-3-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt3.pdf'>DataScience-Blatt3.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>4</td>
   <td class='datum'>26.10.2021</td>
   <td class='vorlesung'>Tutorial Day 1</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Wiederholung Python Grundlagen</li>
      <li>Python Funktionen und Listen</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-TutorialDay1.pdf'>Folien-TutorialDay1.pdf</a> <br>(bis Folie 27)</li>
      <li>L&ouml;sungen zu P-Aufgaben unter <code>Kurse/DataScience1/TutorialDay</code></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li>Aufgaben sind im Foliensatz enthalten</li>
      <li><a href='Hausarbeit-Test.pdf'>Hausarbeit-Test.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>5</td>
   <td class='datum'>02.11.2021</td>
   <td class='vorlesung'>Maschinelles Lernen</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>&Uuml;bersicht &uuml;ber Maschinelles Lernen</li>
      <li>Lernaufgaben und Verfahren</li>
      <li>Training- und Testen, Modellvalidierung</li>
      <li>Python-Modul SciKitLearn</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-04.pdf'>Folien-04.pdf</a> <br/>(bis Folie 33, wer m&ouml;chte auch komplett)</li>
      <li><a href='Vorlesung-4-Intro.pdf'>Vorlesung-4-Intro.pdf</a></li>
      <li><a href='Pandas_Cheat_Sheet.pdf'>Pandas_Cheat_Sheet.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt4.pdf'>DataScience-Blatt4.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>6</td>
   <td class='datum'>09.11.2021</td>
   <td class='vorlesung'>Tutorial Day 2</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Wiederholung</li>
      <li>&Uuml;bungen zu Pandas (Series, DataFrame)</li>
      <li>Beispiel: Strukturierte Probleml&ouml;sung (Hundesteuern)</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-TutorialDay2.pdf'>Folien-TutorialDay2.pdf</a></li>
      <li>L&ouml;sungen zu Aufgaben unter <code>Kurse/DataScience1/TutorialDay_Loesungen</code></li>
      <li>Beispiel zu Hundesteuer-Funktion unter <code>Kurse/DataScience1/Hundesteuer.ipynb</code></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='Folien-TutorialDay1.pdf'>Folien-TutorialDay1.pdf</a></li>
      <li><a href='aufgabenblatt_4.pdf'>aufgabenblatt_4.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>7</td>
   <td class='datum'>16.11.2021</td>
   <td class='vorlesung'>Klassifikation mit B&auml;umen</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Entscheidungsb&auml;ume zur Klassifikation</li>
      <li>Modell-Evaluation, Confusion-Matrix</li>
      <li>Modell-Training mit SciKit Learn</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-05.pdf'>Folien-05.pdf</a></li>
      <li><a href='Vorlesung-5-Intro.pdf'>Vorlesung-5-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt5.pdf'>DataScience-Blatt5.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>8</td>
   <td class='datum'>23.11.2021</td>
   <td class='vorlesung'>Gastvortrag</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Gastvortrag Jonas Rashedi, Firma Douglas</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='Hausarbeit-SoSe2021.pdf'>Hausarbeit-SoSe2021.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>9</td>
   <td class='datum'>30.11.2021</td>
   <td class='vorlesung'>Klassifikation mit kNN</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Lernen nach &Auml;hnlichkeiten</li>
      <li>Distanzma&szlig;e</li>
      <li>Klassifikation mit k-NN</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Vorlesung-6-Intro.pdf'>Vorlesung-6-Intro.pdf</a></li>
      <li><a href='Folien-06.pdf'>Folien-06.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt6.pdf'>DataScience-Blatt6.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>10</td>
   <td class='datum'>07.12.2021</td>
   <td class='vorlesung'>Klassifikation (lineare Modelle 1)</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Lineare Modelle, Daten im Vektorraum</li>
      <li>Hyperebene, lineare Separierbarkeit</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-07.pdf'>Folien-07.pdf</a></li>
      <li><a href='DataScience1-07-Intro.pdf'>DataScience1-07-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt7.pdf'>DataScience-Blatt7.pdf</a></li>
      <li><a href='TutorialSession-Blatt1.pdf'>TutorialSession-Blatt1.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>11</td>
   <td class='datum'>14.12.2021</td>
   <td class='vorlesung'>Klassifikation (lineare Modelle 2)</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Lineare Modelle (SVM)</li>
      <li>nicht-lineare Separierbarkeit</li>
      <li>Kern-Funktionen (Kernel-Trick)</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Folien-08.pdf'>Folien-08.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='DataScience-Blatt8.pdf'>DataScience-Blatt8.pdf</a></li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>12</td>
   <td class='datum'>21.12.2021</td>
   <td class='vorlesung'>Zusammfassung Klassifikation</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Zusammenfassung Klassifikation</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Vorlesung-9-Intro.pdf'>Vorlesung-9-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='Hausarbeit-Olympia.pdf'>Hausarbeit-Olympia.pdf</a></li>
      <li><a href='Hausarbeit-Hoerspiel.pdf'>Hausarbeit-Hoerspiel.pdf</a></li>
      <li>
      <p><a href='Hausarbeit-Lieferdienst.pdf'>Hausarbeit-Lieferdienst.pdf</a></p>
      </li>
      <li>
      <p><a href='TutorialSession-Blatt1.pdf'>TutorialSession-Blatt1.pdf</a></p>
      </li>
      </ul>
    </td>
  </tr>
  <tr>
   <td class='termin'>13</td>
   <td class='datum'>28.12.2021</td>
   <td class='vorlesung'>f&auml;llt aus (Weihnachtsferien)</td>
    <td>  <!-- Inhalte -->
    </td>
    <td>  <!-- Folien -->
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
    </td>
  </tr>
  <tr>
   <td class='termin'>14</td>
   <td class='datum'>04.01.2021</td>
   <td class='vorlesung'>f&auml;llt aus (Weihnachtsferien)</td>
    <td>  <!-- Inhalte -->
    </td>
    <td>  <!-- Folien -->
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
    </td>
  </tr>
  <tr>
   <td class='termin'>15</td>
   <td class='datum'>11.01.2022</td>
   <td class='vorlesung'>Wiederholung</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Wiederholung/Frage zur Normalisierung</li>
      <li>Offene Fragerunde</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='Vorlesung-10-Intro.pdf'>Vorlesung-10-Intro.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
    </td>
  </tr>
  <tr>
   <td class='termin'>16</td>
   <td class='datum'>09.02.2022</td>
   <td class='vorlesung'>Hausarbeit</td>
    <td>  <!-- Inhalte -->
      <ul>
      <li>Aufgabenstellung der Hausarbeit</li>
      </ul>
    </td>
    <td>  <!-- Folien -->
      <ul>
      <li><a href='DataScience1-Hausarbeit.pdf'>DataScience1-Hausarbeit.pdf</a></li>
      </ul>
    </td>
    <td>  <!-- &Uuml;bungsbl&auml;tter -->
      <ul>
      <li><a href='Hausarbeit-Corona.pdf'>Hausarbeit-Corona.pdf</a></li>
      </ul>
    </td>
  </tr>
</table>

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