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Process automation (elective) (WP)*

Niveau

Master

Learning outcomes of the courses/module

The 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

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

Seminar thesis or 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, 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.1

Type of course/module

integrated lecture

Type of course

Compulsory elective

Internship(s)