Business Process Modelling

2022/2023

Academic Year

ENG

Instruction in English

5

ECTS credits

Delivered at:

Department of General and Strategic Management (Nizhny Novgorod) (Faculty of Management (Nizhny Novgorod))

Course type:

Elective course

When:

4 year, 1, 2 module

Instructor

Privalov, Igor

Course Syllabus

Abstract

The course allows you to obtain basic knowledge and practical skills in the application of modern methods of audit and diagnosis, modelling, optimization and improvement of business processes (including the use of automation tools).

Learning Objectives

• Learning the theoretical foundations of business process analysis and modeling
• Learning the methodology for modeling business processes
• Gaining practical skills in modeling, analyzing and improving business processes

Expected Learning Outcomes

• Students will know the basic principles of process discovery, conformance checking and process mining constituting the area process mining.
• Knows: databases and data warehouses; functional classes of analytical systems. Knows: optimization systems; expert systems. Owns the concept of operating business intelligence; analytical reporting. Knows: ERP systems; cloud solutions.
• have a good understanding of Business Process Intelligence techniques (in particular process mining)
• have a good understanding of the data needed to start a process mining project
• • the relationships between ERP systems and an organisation’s performance
• Understand BPMN (Business Process Model and Notation) basic principles.
• Reproduce basic elements of BPMN notation and diagramming rules in BPMN notation
• Create a business process model in BPMN notation
• Understand what software robots (RPA - Robotic Process Automation) are and how they differ from classic automation tools
• Have a basic understanding of what areas of companies' activities and in what classes of tasks software robots are most applicable
• Know all stages of the business process and life cycle of development, implementation and maintenance of software robots

Course Contents

• Methodologies and tools for modeling. Levels and subject areas of modeling
• Process Mining technology
• Integrated information systems (ERP) and integrated business processes
• Method and Technology of Simulation Modeling
• Robotic Process Automation

Assessment Elements

• Аctivity
• Practical assignment
• Exam

Interim Assessment

• 2022/2023 2nd module
  0.5 * Exam + 0.3 * Practical assignment + 0.2 * Аctivity

Bibliography

Recommended Core Bibliography

• Aalst, W. van der. (2016). Process Mining : Data Science in Action (Vol. Second edition). Heidelberg: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1203872
• Lucas da Costa Almeida, Sérgio Augusto Faria Salles, Rafael Ladeira Carvalho, Alline Sardinha Cordeiro Morais, & Simone Vasconcelos Silva. (2019). BPMN and quality tools for process improvement: a case study. GEPROS: Gestão Da Produção, Operações e Sistemas, (4), 156. https://doi.org/10.15675/gepros.v14i4.2308
• Бизнес-процессы: регламентация и управление : учебник / В.Г. Елиферов, В.В. Репин. — Москва : ИНФРА-М, 2020. — 319 с. — (Учебники для программы МВА). - Текст : электронный. - URL: http://znanium.com/catalog/product/1057215

Recommended Additional Bibliography

• Discovering high-level BPMN process models from event data. (2019). Business Process Management Journal, 25(5), 995–1019. https://doi.org/10.1108/bpmj-02-2018-0051