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Process Automation (Elective)

Niveau

master’s degree program

Learning outcomes of the courses/module

The participants:
• are familiar with challenges in process automation
• know how to select processes for automation
• are familiar with approaches and factors for successful process automation
• know how to create process automations in selected software
• are familiar with interfaces to ERP and CRM systems
• are familiar with procedures for interprocess communication and can implement them
• are familiar with the basic architecture of cloud-based IT applications for process automation in a business context, using Microsoft Dynamics 365 as an example
• are familiar with basic and advanced process automation functionalities in Microsoft Dynamics 365
• can implement browser-based and app-based UIs for process automation using Microsoft technologies as an example

Prerequisites for the course

No prerequisites

Course content

- Basic concepts: business process, workflow, BPMS, WFMS, RPA, etc.
- Selection criteria for workflow engines for process automation
- Architecture and integrations of workflows for process automation
- Overview of interprocess communication
- Transactional properties of processes, simulation, and code generation
- Fundamentals of Microsoft Dynamics 365: modules and navigation, basic entities, and standard workflows
- Organizational and technical implementation using configuration and declarative programming

Recommended specialist literature

* Reicher M., Weber B.: Enabling Flexibility in Process-aware Information Systems, Springer 2012, Kapitel 2-4
* Quarre, F.: Robotic Process Automation, O'Reilly, 2019
* Critchley, S.; Dynamics 365 CE Essentials: Administering and Configuring Solutions, Apress; 2018
* Yapa, S.; Customizing Dynamics 365: Implementing and Releasing Business Solutions, Apress; 2019
* Salatino, M., Aliverti, E.: jBPM 6 Developer Guide; Packt Publishing, 2014
* Allweyer, Thomas: BPMN 2.0 - Business Process Model and Notation: Einführung in den Standard für die Geschäftsprozessmodellierung.- Books on Demand, 2015

Assessment methods and criteria

Seminar paper
Exam

Language

English

Number of ECTS credits awarded

4

Semester hours per week

Planned teaching and learning method

Lecture, discussions, practical examples, computer-based exercises

Semester/trimester in which the course/module is offered

3

Type of course/module

Type of course