Institute of Computer Science
Courses.cs.ut.ee Institute of Computer Science University of Tartu
  1. Courses
  2. 2025/26 spring
  3. Business Process Mining (LTAT.05.025)
ET
Log in

Business Process Mining 2025/26 spring

  • Home
  • Lectures
  • Practice Sessions
  • Grading Criteria
  • Message Board

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.


12.02 - Practice 1: Independent Work
  • More info TBA
19.02 - Practice 2: Introduction to Process Mining
  • More info TBA
26.02 - Practice 3: Automated Process Discovery
  • More info TBA
05.03 - Practice 4: Performance Mining
  • More info TBA
12.03 - Practice 5: Conformance Checking & Variant Analysis
  • More info TBA
19.03 - Practice 6: Descriptive Process Mining with Apromore
  • More info TBA
26.03 - Practice 7: Predictive Process Monitoring
  • More info TBA
02.04 - Practice 8: Process Simulation & "What-if" Analysis
  • More info TBA
09.04 - Practice 9: Advanced Process Simulation
  • More info TBA
16.04 - Practice 10: Data Extraction and Pre-processing v1
  • More info TBA
23.04 - Practice 11: Data Extraction and Pre-processing v2
  • More info TBA
30.04 - Practice 12: 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.
07.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
14.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
21.05 - No practice this week (project work)
This practice session is designed for you to work on the course project.
28.05 - 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
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment