ERP Systems & Business Process Management

* Concept of business intelligence and specific aspects such as datawarehouse, OLAP. * Methods and techniques of data mining and process mining * Techniques and up-to-date tools in the field of data warehousing & data mining * Case studies or projects in the subject area with practical application of tools * Tools in the field of business intelligence

The following content is discussed in the course: - Evaluation tools with visual orientation, e.g. Bl tools such as MS PowerBl, Tableau, QlikView - Display libraries, e.g. matplotlib.pyplot, gglot2 - Rules of visual communication, e.g. Hichert SUCCESSSS

* Overview of agile process methods * Roles in the agile process * Running an agile project (sprins, dailies, demos, retros) * Coaching an agile project (e.g. question techniques) * Experience with agile projects from software development * The challenge of developing smart products * Methods of product development (e.g. FMEA, TRIZ) * Advantages of hybrid process methods * Role of management in the agile process

The lecture teaches basic concepts from the field of human-computer interaction (usability, user experience, user inter-face design) and information visualization. This includes the following focal points: User interface architectures; design criteria, guidelines and standards for the creation and modelling of user interfaces of interactive systems; approaches and methods (quantitative and qualitative) for the evaluation of user interfaces of interactive systems; web style guides and evaluation criteria for websites (e.g. with regard to accessibility); basics of information presentation and data visualization; interactive information visualization; the theoretical lecture contents are prepared in the exercise using practical examples and implemented in a small project (usability evaluation) in a team.

The contents of this course are not set, but will be adapted to the current prevailing trends. Content examples may include: - New technologies in the field of web architectures - Trends in the field of programming languages on the web - New design concepts in the field of web applications - New questions in the field of research in web technologies and applications - New questions in the field of web development practice

The contents of this course are not set, but will be adapted to the current prevailing trends. Content examples may include: - New technologies in the field of Big Data Processing - Trends in programming languages in data analysis - New concepts of data processing (e.g. Data Lake) - New questions in the field of data science research - New questions in data science practice

Current developments in the area of business application systems with special emphasis on ERP-systems. Models, examples, best practice cases

* Current best practice approaches and concepts in application areas (e.g. Smart Home, Smart City, Smart Production, Connected Vehicles, etc.) * Current best practice approaches with regard to development processes and tools * Current research and development activities or research and development results

-Components of IT infrastructure (function, development, * Function of computer systems * Development * Networks, Internet operating systems -development of hardware platforms * Microsystems, system on a chip * Cloud systems * Virtualization

* Operational requirements in information management operational and planning tasks * Overview of the structure and functional scope of typical ERP systems (company codes, business areas, processes) * Integration of the individual modules of an ERP system * Overview of ERP system SAP ERP, SAP S4/ Hana, etc. * Specialization in the SAP modules SD, MM, PP.

* Basic terms: Business process, workflow, BPMS, WFMS, RPA, etc. * Classification of WFMS/RPA; differentiation of ERP systems * Historical development (from WFMS to BPMS to RPA) * Architecture of WFMS/RPA systems * Overview of process spectrum (from repetitive and predictable, to non-repetitive and unpredictable) * From functional process models to executable process models * Organizational and technical implementation

* Modules for presenting information to decision makers * Preparation of information for corporate planning and monitoring * Introduction to SAP modules FI and CO

* IT Governance and IT Strategy * Demand Management * IT Monitoring * IT Sourcing * IT Security and Risk Management * IT Compliance

* ERP life cycle * Overview of ERP systems * Criteria for selecting ERP systems * Procedures for implementing ERP systems * Procedure for testing ERP systems * Licensing models * Overview of third-party product range (in addition to SAP) * Basic functionality of the third-party vendor * Selected transactions in the third-party vendor's software * Advantages/disadvantages between SAP and the third-party vendor

Introduction * IoT architecture (e.g. reference models) * Requirements for IOT systems * IOT data transmission protocols * Use of IOT in an industrial context (examples) * Basics of sensor technology * Basics of embedded systems Implementation * Procedure for implementing IOT * Prototypical implementation of IOT * Selection of sensors * Collection, visualization and evaluation of data * Implementation challenges

The following content is discussed in the course: - Presentation of different user-oriented analysis platforms (e.g. KNIME, RapidMiner, Grafana) - Presentation of different cloud solutions for data analysis (e.g. Google Cloud, AWS, Azure) - Application of the platforms presented using the example of analysis data sets - Discussion of the different approaches

Students are given an overview of common business platforms and cloud computing. In addition, the advantages and disadvantages of the respective platforms are discussed. Students are therefore able to select suitable platforms for a given problem. Students gain practical experience with selected platforms using case studies. In addition, methods for defining interfaces are discussed with the students.

* 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

Approach to customizing and modification of ERP systems, getting familiar with software for development (infrastructure), testing of software components of a corporate information system, practical examples

The graduate, the student: * Can lead IT and process improvement projects * Can structure projects/project teams (results, times, resources) * Knows the tasks and responsibilities as a project team member

Independently study and work out a specialist topic from the field of economics and information technology using scientific methods.

* Accompanying the students during the preparation of the Master thesis. * In the colloquium, the question/hypothesis and structure of the Master thesis are presented and discussed. * In addition, the scientific methodology of the Master thesis is discussed and questioned and advice is given on the formal design of the Master thesis.

* Identifying customer and business requirements * Modeling processes * Applying process modeling tools * Measuring process performance * Analyzing processes * Improving process performance

* Leveraging Process Management * Process Management Framework * Selecting Processes for Strategic Improvement * Visualizing Process Performance * Performing Process Audits * Establishing Process Governance * Process Interface Management * Implementing Process Management

Project Management Basics with focus on process improvement and ERP implementation * Setting up a project (goals, scope, timeline, etc.) * Planning project results, tasks, time and resources * Installing a project team and communicating with stakeholders * Managing results, risks, quality, time and budget Agile Project Management Methods: * Challenges in traditional project management * Scrum framework and agile approach and principles * Agile artifacts (Scrum, sprints, backlogs, dailies, retro, etc.) * Release management in agile projects * Hybrid project management methods

* Moderation writing exercises, flipchart design, pin board layout, pictogram design, standard visualizations * Feedback on stance, voice, speaking, type of presentation and intervention in disruptions * Interdisciplinary presentation and moderation techniques, dialog presentations * All presentations and moderations as exercises in small groups; each participant presents and moderates as an experi-ence in their own right

Conflict management: * Causes of conflicts * Methods for dealing with conflicts Negotiation techniques: * Solution-focused communication * Non-violent communication * Discussion of classic negotiation models