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Process Automation (elective)*

Niveau

Master`s course

Learning outcomes of the courses/module

The graduate, the student:
* Knows challenges in process automation
* Can select processes for automation
* Knows procedures and factors for successful process automation
* Can create process automation in selected software
* Knows interfaces to ERP and CRM systems
* Knows procedures for interprocess communication and can implement them
* Knows the basic structure of cloud computing-based IT applications for process automation in the operational environment using Microsoft Dynamics 365 as an example
* Knows basic and advanced functionalities of process automation under Microsoft Dynamics 365
* Can implement browser and app-based UIs for process automation using Microsoft technologies as an example

Prerequisites for the course

none

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

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

Written exam

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, individual work with software, group work, presentation and discussion of tasks

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