Program

Each day will consist of four 1.5-hour sessions, organized into the following seven modules:

Module 1: Introduction. Participants will receive a broad overview of process mining, including the necessary steps to enable it in academic and organizational contexts, its main purposes, and the process models and notations used to support these tasks.

Module 2: Procedural Models. This module dives into the syntax, semantics, and properties of procedural formalisms used in process mining.

Module 3: Procedural Approaches. Building on Module 2, this module provides detailed coverage of key approaches to process discovery and conformance checking.

Module 4: Procedural Simulation. This module offers an overview of standard simulation models, examples of analysis tasks supported by simulation, and their role in process enhancement.

Module 5: Declarative Models & Approaches. Serving as a “declarative counterpart” to Modules 2 - 3, the module focuses on discovery, conformance, and monitoring of declarative process models.

Module 6: Large-Scale Processing. This module covers advanced topics related to process mining in large, distributed systems, including the techniques that enable scalability.

Module 7: Visualization & Privacy. This module covers other advanced topics at the intersection of process mining, visual analytics, explainability, and security.

Participants who successfully complete all seven modules will be eligible, upon request, to receive 2 ECTS credit points.

The detailed program will be available in June.