PROCESS MINING

The course will cover the topics listed below:

1. MODELING AND ANALISYS: THE BPMN PERSPECTIVE
- Process Identification
- Essential and Advanced Process Modeling in BPMN
- Qualitative Analysis
- Quantitative Analysis
- Process redesign

2. MODELING AND ANALISYS: THE PETRI NET PERSPECTIVE
- An introduction to Petri Nets
- Petri nets and colored petri nets
- Simulation based analysis
- Reachability and coverability analysis
- Process modeling and analysis with PN

3. PROCESS MINING
- Data & Process mining
- Getting the data: the construction of event logs
- An introduction to Process discovery
- Advanced process discovery
- Conformance checking - replay based
- Conformance checking - logic based
- Mining additional perspectives
- Typical use cases, e.g., medical processes

4. DECLARATIVE APPROACHES
- Declarative approaches and Declare
- Declarative process mining (discovery in Declare) and hybrid approaches

5. PREDICTIVE PROCESS MONITORING
- Basic Predictive Process Monitoring techniques
- Advanced Predictive Process Monitoring techniques