Subject: Subject Sylbus: Business Process Management and Mining - 096412

Business Process Management and Mining - 096412
Will not be given the year
Credit
Points
3.0
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1   3 4

Determination of the grade according to progress during the semester and the submission of the final thesis


Prerequisites: Logic and Set Theory for Cs 234293
or Discrete Mathematics (for I.E) 094344


Business Processes Are Pervasive in Our Lives: in Banks, Telecommunication Centers, Web-Services, and Even in Healthcare. Business Process Management (Bpm) Focuses on Improving Company'S Performance by Managing and Optimizing Its Processes. the Course Comprises Basic Concepts of Bpm Such as Process Modeling and Quantitative Analysis, as Well as Data-Driven Methodology for Bpm, Namely Process Mining.

Learning Outcomes
At the End of the Course the Students Will Know:
1. Modeling Business Processes in Conceptual Languages, While Using State-of-the-Art Software (Signavio).
2. Modeling Business Processes for Performance and Formal Analyses, Specifically, Using Petri Nets and Queueing Networks.
3. Solve Process Data Quality Issues, and Analyzing the Influence of Data Quality on Process Mining Algorithms.
4. Process Mining, Specifically, Discovery, Conformance Checking Between Model and Data, and Model Enhancement for Process Performance Analysis.




Textbooks
PublishedPublisherAuthorsBook
2013heidelberg: springer.dumas m. la rosa m. mendling j.fundamentals of business process management

Created in 08/03/2021 Time 15:03:29