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
- More info TBA
17.02 - Lecture 2: Process Performance Measurement and Dashboards
- More info TBA
24.02 - Lecture 3: Concepts & Capabilities of Process Mining
- More info TBA
03.03 - Lecture 4: Automated Process Discovery
- More info TBA
10.03 - Lecture 5: Conformance Checking and Variant Analysis
- More info TBA
17.03 - Lecture 6: Performance Mining and Variant Analysis
- More info TBA
24.03 - Lecture 7: Process Simulation & “What-If” Process Mining
- More info TBA
31.03 - Lecture 8: Project Management and Data Extraction for Process Mining
- More info TBA
07.04 - Lecture 9: Declarative Process Mining
- More info TBA
14.04 - Lecture 10: Predictive Process Monitoring
- More info TBA
21.04 - Lecture 11: Process Mining Algorithms
- More info TBA
28.04 - Lecture 12: Course Recap and Trends in Process Mining
- More info TBA
05.05 - Lecture 13: Process Mining in Practice (guest lecture)
- More info TBA
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)