Process analysis using machine learning, business process management and process mining techniques

Description:

The NODES ecosystem, and in particular Spoke 4 (digital innovation for sustainable mountains), have the aim of encouraging the transition towards digital in the North-West territories. Nowadays the market offers innovative tools that facilitate intra/inter-company collaboration without requiring the co-presence of all collaborators in the same place and which allow the identification of critical issues and bottlenecks thanks to automatic analysis engines once the prerogative of a few. However, small and medium-sized entities rarely approach these tools, which are perceived as difficult also due to the lack of specifically designed training opportunities. The course aims to fill this gap by introducing three trending topics (machine learning, business process management and process mining) also through the demonstration of the use of selected tools. In addition to providing an overview of these three themes, the hope is to create opportunities for further contact and collaboration with the ecosystem.

Details:

a) Machine Learning techniques
(7 hours by Prof. Luca Anselma, Dep. Informatics, Univ. Turin)
the. Introduction to Machine Learning
ii. Main Machine Learning tasks
iii. Classification algorithms
iv. Performance evaluation
b) Business Process Management techniques
(7 hours by Prof. Roberto Micalizio, Dept. of Computer Science, Univ. Turin)
the. The business process lifecycle
ii. Modeling in business processes using the BPMN language
iii. Tools to support modeling
iv. Techniques and tools to support process simulation
c) Process Mining techniques
(7 hours by Dr. Elisa Marengo, technologist of the NODES ecosystem)
the. Process mining objectives
ii. Introduction and motivations for process discovery
iii. Conformance checking techniques
iv. Introduction to process enhancement
v. Tools to support process analysis through process mining