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  2. 2024/25 spring
  3. Business Process Mining (LTAT.05.025)
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Business Process Mining 2024/25 spring

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Lectures

Here you can find the description and materials for each course lecture (a few hours after each lecture). The public YouTube series (recorded in 2022) covers the main topics of the lectures in a more condensed format, but is not updated to 2024. This information is also available in the course Moodle.


10.02 - Lecture 1: Introduction
  • Slides
  • Public YouTube series: Part 1, Part 2, Part 3
17.02 - Lecture 2: Concepts & Capabilities of Process Mining
  • Slides
  • Public YouTube series: Part 1, Part 2, Part 3
24.02 - No lecture (Eesti Vabariigi aastapäev)
There is no lecture this week, happy Anniversary of the Republic of Estonia!
03.03 - Lecture 3: Automated Process Discovery
  • Slides
  • Sepsis cases event log
  • Public YouTube series: Part 1, Part 2, Part 3
10.03 - Lecture 4: Conformance Checking and Variant Analysis
  • Slides
  • Sepsis cases event log
  • Device repair event log
  • Public YouTube series: Part 1, Part 2, Part 3, Part 4
17.03 - Lecture 5: Performance Mining
  • Slides
  • Purchase-to-Pay event log
  • Loan application event log (cost)
  • Public YouTube series: Part 1, Part 2, Part 3
24.03 - Lecture 6: Process Simulation & “What-If” Process Mining
  • Slides
  • Credit Application BPS Model
  • Public YouTube series: Part 1, Part 2, Part 3
31.03 - Lecture 7: Declarative Process Mining
  • Slides
  • Public YouTube series: Part 1, Part 2, Part 3, Part 4
07.04 - Lecture 8: Process Mining Algorithms
  • Slides
  • Public YouTube series: Part 1, Part 2, Part 3, Part 4
14.04 - Lecture 9: Predictive Process Monitoring
  • Slides
  • Public YouTube series: Part 1
21.04 - Lecture 10: Project Management and Data Extraction for Process Mining
  • Slides
  • Public YouTube series: Part 1, Part 2, Part 3
28.04 - Lecture 11: Process Mining in Practice (guest lecture)
  • Lecture by Mike van Bussel (Process Mining consultant at Rabobank)
  • Optional: You may write a short summary of this lecture for bonus points (see Assessment page)
05.05 - No lecture (project work)
This lecture session is designed for you to work on the course project.
12.05 - No lecture (project work)
This lecture session is designed for you to work on the course project.
19.05 - No lecture (project work)
This lecture session is designed for you to work on the course project.
26.05 - Project Presentations
During this session, each team will do a presentation (in-person) of their course project.

License: The slides and videos in this Web page are licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0)


  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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