Data Science & Intelligent Analytics PT
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Process automation (elective)

level of course unit

Master's course

Learning outcomes of course unit

- 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 and co-requisites

No prerequisites

course contents

- 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 or required reading

* 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 of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Lecture, discussions, practical examples, PC exercises

semester/trimester when the course unit is delivered


name of lecturer(s)

Dr. Richard Mayr

course unit code


type of course unit

integrated lecture

mode of delivery


work placement(s)