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<title>Universitt Liechtenstein / C19 Project Seminar (WS 21/22)</title>
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                  <th width="20%" align="left" nowrap>Modulcode</th>
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                  <td valign="top"><h2 style="margin: 0px; padding: 0px;">C19 Project Seminar<!----></h2></td>
				  
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                  <td valign="top" nowrap>WS 21/22</td>
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                  <th width="20%" align="left" nowrap>Modultyp</th>
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                  <th width="20%" align="left" nowrap>Lektionen/Semester</th>
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Modul/LV/Pr&uuml;fung<!----></td>
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Pflichtmodul<!----></td>
                  <td valign="top" nowrap><!---->20.0 L<!----><!----> / 15.0 h<!----></td>
                  <td valign="top" nowrap><!---->165.0 h<!----></td>
                  <td valign="top" nowrap><!---->6.00<!----></td>
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        <!----><h2>Lehrveranstaltungen</h2><!----><A HREF="../00022200/06307967.htm">Project Seminar 9688 1 WS 21/22, Seminar</A><br/><!---->

        <!----><h2>Modulleitung</h2><!----><!----><!---->Schneider, Johannes<br><!----><!----><!----><!----><!----><!----><!---->
       	<!----><h2>Studienplan</h2><!---->MSc WI 19<br><!---->
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        <!----><h2>Lehrinhalte</h2>
        In <i>Project Seminar</i>, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.<p/><!---->
    
        <!----><h2>Lernergebnisse</h2>
        After successful completion of the course, students will be able to:<br/><br/><ul style='margin-top:0px; margin-bottom:0px'><li>analyse real-world cases</li><li>collect and prepare data for analysis</li><li>build and evaluate statistical models</li><li>integrate areas of knowledge to identify areas of improvement or innovation</li><li>use appropriate methods to develop recommendations for a case company</li></ul><p/><!---->
     
        <!----><h2>Lehrmethode</h2>
        <ul style='margin-top:0px; margin-bottom:0px'><li>The course involves interactive seminars with workshops and regular presentations.</li><li>The faculty and a jury of representatives from regional companies evaluate the students' solutions in terms of innovativeness and usefulness and provide them with feedback and advice.</li><li>The e-learning platform Moodle is used throughout the course to disseminate course material and for information and discussion.</li></ul><p/><!---->
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        <!----><h2>Voraussetzungen</h2>
        Though not mandatory, students should have profound knowledge in Business Process Management, Data and Application Security, Data Science, or Digital Innovation depending on their choice of project.<p/><!---->
         <!----><h2>Lehrmittel</h2>
        <ul style='margin-top:0px; margin-bottom:0px'><li>The students are provided with all lecture slides and supporting materials.</li></ul><p/><!---->
    
        <!----><h2>Prfungsmethode</h2>
        Seminar paper, presentations, project results; attendance is mandatory (80%)<p/><!---->
    
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        <p><small>&nbsp;<br>&Auml;nderungen vorbehalten</small></p>
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