Institute of Computer Science
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  2. 2023/24 spring
  3. Business Process Mining (LTAT.05.025)
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Business Process Mining 2023/24 spring

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Lectures

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)

Slides and lecture recordings will be uploaded usually a few hours and at most a few days after the lecture. The public YouTube series (recorded in 2022) covers main topics of the lectures in a more condensed format, but is not updated to 2024.

  • Lecture 1 (12.02) - Introduction
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 2 (19.02) - Process Performance Measurement and Dashboards
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 3 (26.02) - Concepts & Capabilities of Process Mining
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 4 (04.03) - Automated Process Discovery
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 5 (11.03) - Conformance Checking and Variant Analysis
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3, Part 4
  • Lecture 6 (18.03) - Performance Mining and Variant Analysis
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 7 (25.03) - Process Simulation & “What-If” Process Mining
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 8 (01.04) - Project Management and Data Extraction for Process Mining
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 9 (08.04) - Declarative Process Mining
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3, Part 4
  • Lecture 10 (15.04) - Predictive Process Monitoring
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1
  • Lecture 11 (22.04) - Process Mining Algorithms
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3, Part 4
  • Lecture 12 (29.04) - Course Recap and Trends in Process Mining
    • Slides
    • Lecture recording
    • Public YouTube series: Part 1, Part 2, Part 3
  • Lecture 13 (06.05) - Process Mining in Practice (guest lecture by Anastasiia Glebova)
    • Slides
    • Optional: You may write a short summary of this lecture for bonus points (see Assessment page)
  • 13.05 - No lecture (project work)
  • 20.05 - No lecture (project work)
  • 27.05 - Project Presentations
    • Presentations will be in-person
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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