Fundamentals of Business Informatics

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Aim of course

The course aims to introduce students to the discipline of business informatics within the economic context. The course structure includes a theoretical lecture part (VO) and a practical exercise part (UE), designed to expand understanding through application-oriented skills.

Details About the Competence Areas

Competence Area 1: Digital Transformation

  • Chapter 1 – Introduction to the Discipline of Business Informatics
    Topics include digital transformation, dimensions of digitalization, issues and challenges in economics and society, information systems and application of information systems (ERP systems), and subject and discipline of business informatics
  • Chapter 2 – Data
    Topics include challenges in data processing and possible solutions, database management systems, concept of relational databases, Structured Query Language (SQL), data modeling, and the Entity Relationship Model (ERM)
  • Chapter 3 – Processes
    Topics include process-oriented information systems, the BPM lifecycle, and Business Process Model and Notation (BPMN)

Competence Area 2: Information Management, Design & Ethics

  • Chapter 4 – Management of Information Systems
    Topics include IS-Management and IT-Strategy, Business/IT-Alignment & example for IT-Strategy, in-house development, IT-outsourcing, information management & control, IT governance, and Frameworks & Standardizations (COBIT, ITIL, etc.)
  • Chapter 5 – Design of Information Systems
    Topics include lifecycle of information systems, system development, process models for system development, requirements engineering, software prototyping, system implementation and testing, and Unified Modeling Language (UML)
  • Chapter 6 – Ethical Issues in Business Informatics
    Topics include digital humanism, digital ethics, value-based engineering, issues such as fake news, censorship, inclusive design, bias, discrimination, and solutions like ACM code of ethics, IEEE 7000, and DSGVO

Competence Area 2: Data & Knowledge Engineering

  • Chapter 7 – Internet
    Topics include computer networks, client/server model, packet switching, communication protocols (TCP/IP), internet and World Wide Web (WWW), applications and central aspects (HTTP, HTML, browser), Internet applications (information search, cloud computing)
  • Chapter 8 – Business Intelligence & Analytics
    Topics include data sources, internal and external data, open data, structured and unstructured data, business intelligence architecture, Extract Transform Load (ETL), data warehouse, distributed computing, Online Analytical Processing (OLAP), data mining, data science, artificial intelligence, and machine learning
  • Chapter 9 – Security & Cryptographic Applications
    Topics include data, communication, and identity security, security objectives, cryptography, hash function and hash value, enryption types, digital signatures, and blockchain

For more information, you can read more about it here

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