Process Mining

News

  • October 3rd, 2016: the first lesson of the course!!
  • September 7th, 2016: the course web site is now on-line

General Info

Teacher:

  • Riccardo Cognini
  • riccardo.cognini@unicam.it

Lessons Scheduling:

  • 42 h - lecture and exercise sessions
  • Tuesday: 16:00 PM – 18:00 PM
  • Wednesday: 16:00 PM – 18:00 PM

Course Objectives

The course intends to provide a scientific point of view in the topic of Process Mining. A short introduction to Business Process Management and modeing languages are provided in order to understand the how the logs can be mapped into a modeling language. Then, the approaches to mine Business Process from event logs will be studied in deep - from alpha algorthm to complex technique.

Course Contents

Study material

Course Slides

  • Lesson 0 - Course Introduzione (Link)
  • Lesson 1a - Data Mining Introduction (Link)
  • Lesson 1b - Process Mining Introduction (External Link)
  • Lesson 2 - Business Process Management and Process Mining (Link)
  • Lesson 3- BP Modeling Languages and BPMN (Link)
  • Lesson 4 - Petri Nets and other languages (Link)
  • Lesson 5 - Process Mining and Data Logs (Link)
  • Lesson 6 - Logs and BPMN exercises by hand (Link)
  • Lesson 7 - Alpha Algorithm(Link)
  • Lesson 8 - Advanced Techniques(Link)
  • Lesson 9 - Other Process Mining Topics (Link)

Exam Simulation

Projects:

  • Project List (Link)

Reference book:

  • Process Mining – Discovery, Conformance and Enhancement of Business Processes (Springer)

Exams

Exam Dates A.Y. 2016/2017

  • Winter Session 1: 6/2/2016
  • Winter Session 1: 17/2/2017 9-11 AM (Polo Ludovici)
  • Winter Session 2: 24/2/2017 9-11 AM (Polo Ludovici)
  • Winter Session 3: 8/3/2017 16-18 AM (Polo Ludovici)
  • …

Exam rules:

  • Write Exame (27pt) + Research Project (6pt)

Exam Results