052412 VU Business Intelligence II (2024W)

Business Intelligence II will focus on the topic of process mining. Process mining is an emerging branch of data science that aims at deriving qualitative and quantitative insights on the execution of organizational processes, based on the analysis of recorded event sequences. As part of the business intelligence, process mining particularly provides an operational view on organizations, rather than just a focus on achieved outcomes.
The course features lectures and exercises that focus on the formal foundations, algorithms, and techniques of process mining. The course will be divided in two main parts.

Part A will focus on fundamental tasks in process mining, namely:
·      Process discovery, which aims to derive a process model from recorded events
·      Conformance checking, which aims to identify deviations between event data and process models
For the above subjects, the course will cover fundamental algorithms as well as advanced, state-of-the-art techniques.

Part B will focus on advanced topics, such as:
- Event log extraction, quality and preprocessing
- Predictive process monitoring
- Object-centric process mining

The course will combine lectures with practical exercises, include a guest lecture and practical session with a leading process mining company. Examinations that target your understanding and ability to apply the covered concepts will be complemented with a replication study, in which you dive deep into state-of-the-art research.

***Prerequisites***
- You are not required to have taken Business Intelligence I (there will be some redundancy)
- Familiarity with process modeling (BPMN or Petri nets) is helpful but not expected
- Basic programming skills are required for the practical exercises (Python) and group project