Objective
The main purpose of this course is to enable students manage an organization’s business processes.
Business process management (BPM) refers to the set of concepts, methods and tools that help organizations define, implement, measure, evaluate and improve their end-to-end business processes.
It combines methods and techniques that are widespread such as business process reengineering (BPR), total quality management (TQM), the lean six sigma method and is supported by technologies such as workflow management, process mining, process analytics and service-oriented systems. Business process management helps increase the efficiency of organizations by coordinating activities, automatically assigning tasks to process participants, and completing processes. International organizations such as the Gartner Group demonstrate that the improvement/optimization of business processes has been, for several years, one of the most important priorities of organizations.
From this course students are expected to acquire substantial knowledge and skills on various methods for recording, analyzing, modeling, evaluating, improving, reengineering, simulating, and enacting business processes as well as on the development of process-oriented IS that are implemented on service-oriented architectures, especially cloud-based ones.
After successfully completing the course, students will be able to:
- build business process models using modeling tools based on the BPMN standard
- perform business processes using business process management systems
- analyze the performance of existing business processes
- create business process management strategies and plans for the implementation of business processes within organizations
- understand the basic features and components of modern computing infrastructures (such as computing and storage clouds)
- know the main tools and techniques for creating and managing computing infrastructures at different levels (application, platform, virtualized infrastructure)
- implement cloud computing applications as well as computing and storage arrays using the most innovative technologies applied at an international level
Learning outcomes
- Search for, analysis and synthesis of data and information, with the use of the necessary technology
- Adapting to new situations
- Team work
- Working in an interdisciplinary environment
- Production of new research ideas
- Criticism and self-criticism
- Production of free, creative and inductive thinking