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--- didattica:magistrale:pm:ay_1920:main [2019/10/01 23:23]
barbara [News]
+++ didattica:magistrale:pm:ay_1920:main [2020/09/17 16:55] (current)
@@ Line 19: / Line 19: @@
   * Monday: 2:00 pm – 4:00 pm
   * Wednesday: 11:00 am – 13:00 am
+**To book an appointment**:
+  * Please send and e-mail.
@@ Line 75: / Line 78: @@
 ** Course Slides **
-  * {{ :didattica:magistrale:pm:ay_1920:slide_1_-_course_presentation.pdf | Course Introduction}}
-  * {{ :didattica:magistrale:pm:ay_1920:01_context.pdf |Process Mining and its Context}}
+  * {{ :didattica:magistrale:pm:ay_1920:slide_1_-_course_presentation_2019-20_.pdf |Course Introduction}}
+  * {{ :didattica:magistrale:pm:ay_1920:01_context.pdf |Process Mining and its Context}} (new!!!)
   * {{ :didattica:magistrale:pm:ay_1920:02_modeling.pdf |Formal Modeling of Processes}}
   * {{ :didattica:magistrale:pm:ay_1920:03_datamining.pdf |Data Mining - a short introduction}}
@@ Line 108: / Line 114: @@
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-**Project Based on 2018 Business Process Intelligence Challenge (BPIC) - [[https://www.win.tue.nl/bpi/doku.php?id=2018:challenge]] **
+**Dates available at https://didattica.unicam.it/Home.do**
-**Project Based Examination** on the topics of the syllabus including project presentation
-  - Process Mining Challenge: (i) we will provide real data set, (ii) we will provide questions to be answered
-  - We expect that you can focus on a specific aspect of interest and analyze this aspect in great detail using any technique, method, algorithm, and tool
-  - We will judge based on: (i) the originality of the results, (ii) the validity of the claims, and (iii) the depth of the analysis of specific issues identified
-**Dates** (https://didattica.unicam.it/Home.do)
+**Exams Rules**:
+  * ** Written test (2 h).** On the exam date a written test takes place, it has a mixed structure: solution of exercises, and open/close answer questionnaire.
+  * **Realisation of a project** with a software tool presented during the course writing of a report. There is an **oral discussion. {{ :didattica:magistrale:pm:ay_1920:process_mining_-_project_guidelines.pdf |Guidelines}}**.
 </WRAP>