06306067.htm

text/html 06306067.htm — 5 KB

Dateiinhalt

<html>

<head>
<link rel="stylesheet" href="http://www.uni.li/++theme++plonetheme.unili/static/subsite.min.css?v=2021-05-31-09-15">
<title>Universitt Liechtenstein / C19 Process Mining (WS 21/22)</title>
<style>
.responsive-centered {
    float: none;
    position: relative;
    width: 1200px;
    margin: 0 auto;
    clear: both;}
body {
    font-family: 'OpenSans',Helvetica,Arial,sans-SERIF;
    font-size: 14px;
    line-height: 1.42857143;}
</style>
</head>

<body>

<blockquote>
<div class="responsive-centered">
<br/>
            <a id="portal-logo" title="Deutsch" accesskey="1" href="https://www.uni.li/de" class=""><img src="https://www.uni.li/logo.png" alt="Website" title="Website" height="31" width="204"></a>

  <!-- Start: Seitentext -->
  <table border="0" cellpadding="60" cellspacing="0" width="100%">
    <tr>
      <td class="seiteninhalt">
        <!-- Dies ist eine automatisch generierte Seite, ich entschuldige mich daher bei allen "Quelltextguckern" fr die vielen sinnlosen Kommentare -->
        <table border="0" cellpadding="0" cellspacing="0" width="100%" style="border-collapse: collapse;">
          <tr>
            <td width="100%" style="border: 1px solid #000000;">
              <table border="0" cellpadding="4" cellspacing="4 width="100%">
                <tr>
                  <th width="20%" align="left" nowrap>Modulcode</th>
                  <th width="40%" align="left" nowrap>Modulbezeichnung</th>
                  <th width="20%" align="left" nowrap>Plansemester</th>
                  <th width="20%" align="left" nowrap>Semester</th>
                </tr>
                <tr>
                  <td valign="top" nowrap>
		    5209695
		  </td>
                  <td valign="top"><h2 style="margin: 0px; padding: 0px;">C19 Process Mining<!----></h2></td>
				  
                  <td valign="top" nowrap><!---->3<!----><!----></td>
				  
                  <td valign="top" nowrap>WS 21/22</td>
                </tr>
              </table>
            </td>
          </tr>
          <tr>
            <td width="100%" style="border: 1px solid #000000;">
              <table border="0" cellpadding="5" cellspacing="3" width="100%">
                <tr>
                  <th width="20%" align="left" nowrap>Modultyp</th>
                  <th width="20%" align="left" nowrap>Modulstatus</th>
                  <th width="20%" align="left" nowrap>Lektionen/Semester</th>
                  <th width="20%" align="left" nowrap>Selbststudium</th>
                  <th width="20%" align="left" nowrap>ECTS-Punkte</th>
                </tr>
                <tr>
                  <td valign="top" nowrap> 
Modul<!----></td>
                  <td valign="top" nowrap> 
Wahl-/Pflichtmodul<!----></td>
                  <td valign="top" nowrap><!---->30.0 L<!----><!----> / 22.5 h<!----></td>
                  <td valign="top" nowrap><!---->67.5 h<!----></td>
                  <td valign="top" nowrap><!---->3.00<!----></td>
                </tr>
              </table>
            </td>
          </tr>
        </table>
	<p>

        <!----><h2>Lehrveranstaltungen</h2><!----><A HREF="../00022200/06307867.htm">Process Mining 9696 1 WS 21/22, Vorlesung</A><br/><!---->

        <!----><h2>Modulleitung</h2><!----><!----><!---->Laskov, Pavel<br><!----><!----><!----><!----><!----><!----><!---->
       	<!----><h2>Studienplan</h2><!---->MSc WI 19<br><!---->
       	<!----><!---->
        <!----><h2>Lehrinhalte</h2>
        <i>Process Mining</i> covers conceptual foundations, methods, and technologies for analysing business processes with the help of digital trace data that stems from information technology. In particular, students learn how to mine digital trace data. The course focuses on three primary topics:<br/><br/><ul style='margin-top:0px; margin-bottom:0px'><li>Petri-net foundations of process analysis</li><li>Process mining algorithms</li><li>Process mining tools and applications</li></ul><p/><!---->
    
        <!----><h2>Lernergebnisse</h2>
        After successful completion of the course, students will:<br/><br/><ul style='margin-top:0px; margin-bottom:0px'><li>understand the foundational concepts of process mining</li><li>understand how process mining algorithms work</li><li>understand how a process mining project can be conducted in practice</li></ul><p/><!---->
     
        <!----><h2>Lehrmethode</h2>
        <ul style='margin-top:0px; margin-bottom:0px'><li>The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.</li><li>The e-learning platform Moodle is used throughout the course to disseminate course material and for information and discussion.</li></ul><p/><!---->
   	<!----><!---->
        <!----><h2>Voraussetzungen</h2>
        Though not mandatory, students should have attended the first-semester course <i>Business Process Management</i>.<p/><!---->
         <!----><h2>Lehrmittel</h2>
        Compulsory reading:<br/><br/><ul style='margin-top:0px; margin-bottom:0px'><li>Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. (2018). Fundamentals of Business Process Management (2nd edition). Berlin, Germany: Springer.</li></ul><br/>Additional reading:<br/><br/><ul style='margin-top:0px; margin-bottom:0px'><li>Van der Aalst, W. (2011). Process Mining: Discovery, Conformance and Enhancement of Business Processes. Berlin, Germany: Springer.</li></ul><p/><!---->
    
        <!----><h2>Prfungsmethode</h2>
        Written exam (60min)<p/><!---->
    
         <!----><!---->
     
        <!----><!----><!----><!----><!----><!---->
    
        <p><small>&nbsp;<br>&Auml;nderungen vorbehalten</small></p>
      </td>
    </tr>
  </table>
  <!-- Ende: Seitentext -->

</blockquote>
</body>
</html>