Second Cycle (Laurea magistrale) Degree Programme in Business Informatics
Prof.: Salvatore Ruggieri
Prof.: Roberto Bruni
The student who successfully completes the course will have the ability to design business processes using the current standard languages and notations, to derive formal models for them, and to transfer the result of the formal analysis back to the original processes; will be able to demonstrate a solid knowledge of business process models based on workflow nets; will be able to demonstrate advanced knowledge of the formal properties of business processes.
The student will also have knowledge about and will be able to apply the main software technologies of Business Intelligence for accessing data; for designing and developing datawarehouses, OLAP data cubes, and reports; and for extracting and applying predictive data mining models. The student will be able to assess, with independence and autonomy, the current and future software technologies for Business Intelligence with regard to the requirements of a specific data analysis task.
This course presents techniques for Business Analytics according to two views: The process-driven view of Business Process Modeling and the data-driven view of Business Intelligence. The two views are dealt with in the two modules of the course.
The first module (Business Process Modelling) presents the main concepts and problematic issues related to the process management, where processes are understood as workflow over some basic activities, and shows some of the languages, conceptual models and tools that can help to handle the main problems in a proper way.
The second module (Business Intelligence Laboratory) presents Business Intelligence technologies and systems for data access (file formats, RDBMS standards), for building and analysing datawarehouses (ETL, OLAP), for reporting, and for knowledge discovery from data. The focus is on tools, systems and problem solving methodologies, with case studies and application problems.
For this course the prerequisite/s is/are
It is advised to take the following course ""Data mining" course" in the same semester.
face to face
Weske: Business Process Management: Concepts, Languages, Architectures ISBN 978-3-642-28615-5. Springer-Verlag Berlin Heidelberg 2012. (main
Verbeek, Basten, van der Aalst: Diagnosing workflow processes using Woflan. (article, recommended reading)
van der Aalst, van Hee: Workflow Management: Models, Methods, and Systems (book, optional reading)
Desel, Esparza: Free Choice Nets (book, optional reading)
Book chapters with reminds on theoretical background and software manuals will be provided at the course web site. Software tools will be downloadable with an academic licence.
The student will be assessed on his/her demonstrated ability to use tools and methodologies of the business analytics for problem solving. There is a group project report on the topics of the first module, a lab exam (4 hours) on the topics of the second module, and an oral exam.
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