Institute of Computer Science
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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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  • Practice Sessions
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Practice Sessions

Here you can find the description and materials for each practice session (usually uploaded before the practice session). This information is also available in the course Moodle.


10.02 - Practice 1: Basic Concepts of Business Process Management
  • Practice exercises
  • Exercise 2 description
  • Exercise 3 description
17.02 - Practice 2: Introduction to Process Mining
  • Practice exercises
  • Python script
  • Loan application event log
24.02 - No practice session (Eesti Vabariigi aastapäev)
There is no practice session this week, happy Anniversary of the Republic of Estonia!
03.03 - Practice 3: Automated Process Discovery
  • Practice exercises
  • Jupyter Notebook
  • Loan application event log (v2)
10.03 - Practice 4: Conformance Checking
  • Practice exercises
  • Jupyter Notebook
  • Device repair event log
  • Purchase-to-Pay event log
  • Refund event log
17.03 - Practice 5: Performance Mining and Variant Analysis
  • Practice exercises
  • Jupyter Notebook
  • Loan application event log (cost)
  • Purchase-to-Pay event log
  • Sepsis cases event log
24.03 - Practice 6: What-if Process Mining
  • Practice exercises
  • Credit Application BPS Model
  • Insurance Claims Handling Model
31.03 - Practice 7: Event Log Pre-Processing in Python
  • Practice exercises
  • Jupyter Notebook
  • Loan application event log (raw)
07.04 - Practice 8: Event Log Pre-Processing in Python (continued)
  • Practice exercises
  • Jupyter Notebook
  • Loan application event log (preproc)
  • Additional files
14.04 - Practice 9: Predicting Process Outcomes
  • Practice exercises
  • Jupyter Notebook
  • Event Logs and Additional Libraries
21.04 - Practice 10: Predicting Remaining Time
  • Practice exercises
  • Jupyter Notebook
  • Event Logs and Additional Libraries
28.04 - Practice 11: Project Introduction
During this practice session, we will introduce the group project that you will be working on over the next four weeks. This session will provide an overview of the project objectives, expectations, and guidelines to help you get started.
05.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
12.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
19.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
26.05 - Project Presentations
During this practice session, each team will do a presentation (in-person) of their course project.

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