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Process automation (elective)

Niveau

Master's course

Learning outcomes of the courses/module

Students:
- know the challenges of process automation.
- know how to select processes for automation.
- know the procedure and factors for successful process automation.
- know how to create process automations in selected software.
- know interfaces to ERP and CRM systems.
- know the procedures of interprocess communication and can implement them.
- know the basic structure of cloud-based IT applications for process automation in the operational environment using the example of Microsoft Dynamics 365.
- know basic and advanced functionalities of process automation under Microsoft Dynamics 365.
- can implement UIs for process automation based on browser and apps using Microsoft technologies.

Prerequisites for the course

No prerequisites

Course content

- Basic terms: Business process, workflow, BPMS, WFMS, RPA, etc.
- Selection criteria for workflow engines for process automation
- Architecture and integration of workflows for process automation
- Overview of interprocess communication
- Transactional properties of processes, simulation and code generation
- Basics of Microsoft Dynamics 365: Modules and navigation, basic entities and standard workflows
- Organizational and technical implementation with configuration and declarative programming

Recommended specialist literature

* Rich M., Weber B.: Enabling Flexibility in Process-aware Information Systems, Springer 2012, chapters 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

Written exam or seminar thesis

Language

German

Number of ECTS credits awarded

4

Share of e-learning in %

15

Semester hours per week

2.0

Planned teaching and learning method

Lecture, discussions, practical examples, PC exercises

Semester/trimester in which the course/module is offered

3

Name of lecturer

Dr. Richard Mayr

Academic year

Key figure of the course/module

WPF.5

Type of course/module

integrated lecture

Type of course

Compulsory

Internship(s)

none