====== Process Mining ======
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===== News =====
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  * <wrap em>**October 2nd, 2019**</wrap>: Lessons will start!!! Enjoying. 
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===== General Info =====
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**Teachers**: 
  * Barbara Re 

**ESSE3 Link**
  * [[https://didattica.unicam.it/Guide/PaginaADContest.do?ad_cont_id=10025*8952*2020*2016*9999&ANNO_ACCADEMICO=2020&ANNO_COORTE=2020&ANNO_REVISIONE=2020|Process Mining - AY 2020/2021]]
 
**Lessons Scheduling:**
  * 42 h - lecture and exercise sessions  
  * Wednesday: 09:00 am – 11:00 am
  * Thursday : 2:00 pm – 4:00 pm


**To book an appointment**:
  * Please send and e-mail.


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===== Course Objectives =====

  * This course focuses on the missing link between model-based process analysis and data-oriented analysis techniques
  * The course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains
  * The course explains various process discovery algorithms
  * The course introduces conformance techniques to compare processes and event data
  * The course provides students the opportunity to experiment with tools



===== Learning Outcomes =====

  * At the end of the course, the students will gain familiarity with process mining terminology, methodology and technologies
  * Be able to apply basic process discovery techniques to learn a process model from an event log  
  * Be able to apply basic conformance checking techniques to compare event logs and process models  
  * Have a good understanding of the data needed to start a process mining project
  * Be able to conduct process mining projects




===== Course Contents =====

  * Introduction
    * From Internet of Events to Process Mining
    * Logs: Play-in, Play Out and Reply
    * Positioning Process Mining

  * Preliminaries
    * Process Modelling and Analysis
    * Data Mining

  * From Event Logs to Process Models
    * Getting Data
    * Process Discovery 
    * Advance Process Discovery Techniques
    * Tools support

  * Beyond Process Discovery
    * Conformance Checking 
    * Mining Additional Perspective 

  * Putting Process Mining to Work
    * Business Activity Monitoring, KPI and Improvement
    * Blockchain Technologies
    * Sensors, Internet-of-Things (IoT) and wearable devices


===== Study material =====
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** Course Slides **
[[https://classroom.google.com/c/Mjg0MTQzODc1NTA4?cjc=746t7ev| Classroom with Slide]]

  * ...
  * ...
 

** Registration **
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=fa4f814aaaec4d99be75604ce16c5a4f | Video Recording 03.04.2021 ]]
  * [[ https://unicam.webex.com/unicam/ldr.php?RCID=8813fb123cc84e3b8bb179d728a5d5b2 |Video Recording 04.04.2021 ]]
  *  [[https://unicam.webex.com/unicam/ldr.php?RCID=244570778ec94d2994687d3bfb30ca63| Video Recording 10.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=cfef7164cc094194903deed982c28ed2| Video Recording 11.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=e4733d69b5fb4d6d9897a519f6fa93c4 | Video Recording 17.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=937f9cbec4f642519de0f85d708f76f5| Video Recording 24.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=803693138ad24d4ea6b6b0a83706991b |  Video Recording 25.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=2ced141595d54dc8b0e843c7a86f9728 |  Video Recording 31.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=a81f3a60b9cb47929e320732ee1e5997|  Video Recording 01.05.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=bfa52c7445db43028909024e0995bfbd |  Video Recording 07.05.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=58eca50a1c7646468e920b108e8cd688|Video Recording 08.05.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8dd7d2a7466f42eea445bb2c466906ff | Video Recording 15.04.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8172f4c0cabb41bb957eeae0723c59b2 | Video Recording 22.04.2021]]  
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=7e687a85d06c4f608e776c50018d6143 | Video Recording 29.04.2021]]  
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=90d544a9287e4c84bdddf57439ee0880| Video Recording 05.05.2021]]  
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=a258667bf50a417589cb670086ab1a73| Video Recording 06.05.2021]]  
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=5ce6d9d6a6ac41c2bfba72949228afe1  | Video Recording 13.05.2021]]
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8f702a3901284109a94b755a36968a42  | Video Recording 19.05.2021]]  
  * [[https://unicam.webex.com/unicam/ldr.php?RCID=63acdcfd1f023a14dc7be2686d603cfa | Video Recording 03.06.2021]]

  


 

**Reference book:**
  * Process Mining: Data Science in Action by W.M.P. van der Aalst, Springer Verlag, 2016 (ISBN 978-3-662-49850-7).
  * Fundamentals of Business Process Management. Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo Reijers.  Springer. II Edition.  

**Tools:**
  * Apromore - https://apromore.org/join-the-academic-alliance/


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===== Exams =====
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**Dates available at https://didattica.unicam.it/Home.do**

**Exams Rules**: 
  * On the exam date, a written examination takes place; it has a mixed structure: solution of exercises and open/close answer questionnaire.
  * To be admitted to the written text, the students have to run a project with the APROMORE software tool and deliver a report describing the project objective, findings, and lesson learned. 
  
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