Process Mining

News

October 2nd, 2019: Lessons will start!!! Enjoying.

General Info

Teachers:

Barbara Re

ESSE3 Link

Process Mining - AY 2019/2020

Lessons Scheduling:

42 h - lecture and exercise sessions
Monday: 2:00 pm – 4:00 pm
Wednesday: 11:00 am – 13:00 am

To book an appointment:

Please send and e-mail.

Course Objectives

This course focuses on the 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 introduce conformance techniques to compare processes and event data
The course provides to 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

Course Slides

Course Introduction
Process Mining and its Context (new!!!)

Reference book:

Process Mining: Data Science in Action by W.M.P. van der Aalst, Springer Verlag, 2016 (ISBN 978-3-662-49850-7).

Tools:

Exams

Dates available at 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. Guidelines.